Seungjin Choi

发表

A new way of PCA: integrated-squared-error and EM algorithms

Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind Source Separation via Principal Component Analysis

Seungjin Choi, 2001 .

A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals

Andrzej Cichocki, Ruey-Wen Liu, Seungjin Choi, 1998, Neural Processing Letters.

Binary Embedding with Additive Homogeneous Kernels

Seungjin Choi, Saehoon Kim, 2017, AAAI.

Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences

Seungjin Choi, Jong Kyoung Kim, Seungjin Choi, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multi-view anchor graph hashing

Seungjin Choi, Saehoon Kim, Seungjin Choi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discrete Infomax Codes for Meta-Learning pdf

Seungjin Choi, Yoonho Lee, Wonjae Kim, 2019, ArXiv.

Incremental learning to rank with partially-labeled data

Seungjin Choi, Kye-Hyeon Kim, Seungjin Choi, 2009, WSCD '09.

Maximum Likelihood Source Separation from Noisy Mixtures

Seungjin Choi, Seungjin Choi, 2001 .

Seungjin Choi, Yunjun Nam, Bonkon Koo, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Bayesian common spatial patterns

Seungjin Choi, Hyohyeong Kang, 2013, 2013 International Winter Workshop on Brain-Computer Interface (BCI).

Deep Learning to Hash with Multiple Representations

Seungjin Choi, Saehoon Kim, Yoonseop Kang, 2012, 2012 IEEE 12th International Conference on Data Mining.

Blind rhythmic source separation: Nonnegativity and repeatability

Minje Kim, Seungjin Choi, Kyeongok Kang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Max-margin embedding for multi-label learning

Sunho Park, Seungjin Choi, 2013, Pattern Recognit. Lett..

Probabilistic matrix tri-factorization

Seungjin Choi, Jiho Yoo, Seungjin Choi, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bayesian Multi-task Learning for Common Spatial Patterns

Seungjin Choi, Hyohyeong Kang, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

MxML: Mixture of Meta-Learners for Few-Shot Classification pdf

Seungjin Choi, Yanbin Liu, Saehoon Kim, 2019, ArXiv.

Dynamically Weighted Hidden Markov Model for Spam Deobfuscation

Seunghak Lee, Seungjin Choi, Iryoung Jeong, 2007, IJCAI.

Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach

Seungjin Choi, Jae Sung Lee, Dong Soo Lee, 2005, ICANN.

Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes

Seungjin Choi, Hyohyeong Kang, 2012, AAAI.

Convex Optimization for Binary Classifier Aggregation in Multiclass Problems pdf

Sunho Park, Seungjin Choi, TaeHyun Hwang, 2014, SDM.

Low Power Consumption Signal Detector Based on Adaptive DFSD in MIMO-OFDM Systems

Hyoung-Kyu Song, Seungjin Choi, Seong-Joon Shim, 2019 .

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification

Seungjin Choi, Hyohyeong Kang, Seungjin Choi, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Differential learning algorithms for decorrelation and independent component analysis

Seungjin Choi, 2006, Neural Networks.

Soft Geodesic Kernel K-Means

Seungjin Choi, Jaehwan Kim, Kwang-Hyun Shim, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Non-negative component parts of sound for classification

Seungjin Choi, Yong-Choon Cho, Sung-Yang Bang, 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

Bayesian binomial mixture model for collaborative prediction with non-random missing data

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2014, RecSys '14.

A Method of Initialization for Nonnegative Matrix Factorization

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Nonnegative features of spectro-temporal sounds for classification

Seungjin Choi, Yong-Choon Cho, Seungjin Choi, 2005, Pattern Recognit. Lett..

Bayesian common spatial patterns with Pitman-Yor process priors

Seungjin Choi, Hyohyeong Kang, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

BLIND DEDONVOLUTION AND EQUALIZATION OPTIMIZATION OF KURTOSIS

Seungjin Choi, 1998 .

A hybrid learning approach to blind deconvolution of MIMO systems

Seungjin Choi, Andrzej Cichocki, Andrzej Cichocki, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

Multiple kernel nonnegative matrix factorization

Seungjin Choi, Jeong-Min Yun, Shounan An, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis of Interaction in Multiple Genes Using Independent Subspace Analysis

Hye-Jin Kim, Seungjin Choi, Sung-Yang Bang, 2004 .

A SYMMETRIC-DEFINITE PENCIL APPROACH TO SOURCE SEPARATION

Seungjin Choi, 2002 .

Probabilistic Combination of Multiple Evidence

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2009, ICONIP.

Development of a separation algorithm for peak signals and its application to event-related brain potentials

Seungjin Choi, Jun Soo Kwon, Soo Yong Kim, 2006 .

Kernel Isomap on Noisy Manifold

Heeyoul Choi, Seungjin Choi, 2005, Proceedings. The 4nd International Conference on Development and Learning, 2005..

Nonnegative matrix partial co-factorization for drum source separation

Minje Kim, Seungjin Choi, Kyeongok Kang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

PCA+HMM+SVM for EEG pattern classification

Seungjin Choi, Hyekyoung Lee, Hyekyoung Lee, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Sparse Independent Component Analysis : Efficient Coding of Natural Images?

Seungjin Choi, Oyoung Lee, 2000 .

Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models

Seungjin Choi, Juho Lee, Lancelot F. James, 2016, NIPS.

Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement

Sunho Park, Seungjin Choi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Gaussian Copula Variational Autoencoders for Mixed Data pdf

Seungjin Choi, Suwon Suh, Seungjin Choi, 2016, ArXiv.

A multiplicative up-propagation algorithm

Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh, 2004, ICML.

Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

Seungjin Choi, Yoonho Lee, Seungjin Choi, 2018, ICML.

Incremental Tree-Based Inference with Dependent Normalized Random Measures

Seungjin Choi, Juho Lee, Seungjin Choi, 2014, AISTATS.

Social Network Analysis using Common Neighborhood Subgraph Density

Seungjin Choi, Yoonseop Kang, 2010 .

2011 Ieee International Workshop on Machine Learning for Signal Processing Patch-based Markov Random Fields for Fast Face Occlusion Recovery

Seungjin Choi, Jeong-Min Yun, Seungjin Choi, 2022 .

Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Prediction and Predictability for Search Query Acceleration

Seung-won Hwang, Sameh Elnikety, Yuxiong He, 2016, ACM Trans. Web.

Natural gradient learning for second-order nonstationary source separation

Shun-ichi Amari, Seungjin Choi, Andrzej Cichocki, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Recommendation Method to Make Combined Video from Video Segments

Seungjin Choi, Yunkyung Park, Kyung-Duk Moon, 2016 .

A hybrid EOG-P300 BCI with dual monitors

Seungjin Choi, Yunjun Nam, Bonkon Koo, 2014, 2014 International Winter Workshop on Brain-Computer Interface (BCI).

Natural Gradient Learning Algorithms for Decorrelation

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1997, ICONIP.

Restricted Deep Belief Networks for Multi-view Learning

Seungjin Choi, Yoonseop Kang, 2011, ECML/PKDD.

Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation

Seungjin Choi, Huong Thi Pham, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Glossokinetic Potentials for a Tongue-Machine Interface: How Can We Trace Tongue Movements with Electrodes?

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2016, IEEE Systems, Man, and Cybernetics Magazine.

The Method of Personalized Recommendation with Ensemble Combination

Seungjin Choi, Mucheol Kim, Sang-Yong Han, 2013, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

Comparison of ICA/BSS algorithms for noisy data

Shun-ichi Amari, Seungjin Choi, Soo-Young Lee, 2000 .

Stacked Denoising Autoencoders for Face Pose Normalization

Seungjin Choi, Yoonseop Kang, Sung Eun Park, 2013, ICONIP.

Online multi-label learning with accelerated nonsmooth stochastic gradient descent

Sunho Park, Seungjin Choi, Seungjin Choi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Set Transformer pdf

Yee Whye Teh, Seungjin Choi, Juho Lee, 2018, ArXiv.

Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction

Seungjin Choi, Sunghoon Yim, Seungmoon Choi, 2009, IEEE Transactions on Consumer Electronics.

Independent arrays or independent time courses for gene expression time series data analysis

Seungjin Choi, Jong Kyoung Kim, Sookjeong Kim, 2008, Neurocomputing.

Neighbor search with global geometry: a minimax message passing algorithm

Seungjin Choi, Kye-Hyeon Kim, Seungjin Choi, 2007, ICML '07.

ICA+OPCA for artifact-robust classification of EEG data

Seungjin Choi, Hyekyoung Lee, Sungcheol Park, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Non-Negative Tensor Factorization using Alpha and Beta Divergences

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Alpha-integration of multiple evidence

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A BUSSGANG-TYPE ALGORITHM FOR BLIND SIGNAL SEPARATION

Seungjin Choi, Young Ki Lyu, 1998 .

A robust ensemble-based trust and reputation system against different types of intruder attacks

Seungjin Choi, Mucheol Kim, Sang-Yong Han, 2016, Int. J. Comput. Math..

Brand-Centric Recommendation with Inter-brand Similarities

Seungjin Choi, Hyojung Shin, 2013, ICONIP.

Analysis of Interactions in Multiple Genes using IFSA(Independent Feature Subspace Analysis)

Hye-Jin Kim, Seungjin Choi, Sung-Yang Bang, 2006 .

Independent Component Analysis

Seungjin Choi, Seungjin Choi, 2009, Handbook of Natural Computing.

A NOVEL UNSUPERVISED DECONVOLUTION NETWORK : EFFICIENT FOR A SPARSE SOURCE

Seungjin Choi, 1998 .

Motor imagery detection with wavelet analysis for NIRS-based BCI

Seungjin Choi, Hyung-Cheul Shin, Bonkon Koo, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine

Gajendra P. S. Raghava, Seungjin Choi, Jong Kyoung Kim, 2006, Pattern Recognit. Lett..

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization pdf

Seungjin Choi, Saehoon Kim, Jungtaek Kim, 2017, ArXiv.

PCA-based linear dynamical systems for multichannel EEG classification

Seungjin Choi, H. Lee, Seungjin Choi, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Adaptive Natural Gradient Algorithms for Spatio-temporal Decorrelation

Seungjin Choi, Seungjin Choi, 2000 .

Second Order Nonstationary Source Separation

Andrzej Cichocki, Seungjin Choi, Adel Belouchrani, 2002, J. VLSI Signal Process..

Regularized discriminant embedding for visual descriptor learning

Seungjin Choi, Lei Zhang, Rui Cai, 2013, Neurocomputing.

Landmark MDS ensemble

Seunghak Lee, Seungjin Choi, Seunghak Lee, 2009, Pattern Recognit..

Hierarchical variational Bayesian matrix co-factorization

Seungjin Choi, Jiho Yoo, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

P‐64: Optimum Slit Design Simulation Applied by the Gray‐Tone Photolithography

Yang Yong, Seungjin Choi, J. G. You, 2008 .

A Fundamental Theorem for Acoustic Source Separation

Seungjin Choi, Seungjin Choi, 2000 .

Bayesian Optimization over Sets pdf

Seungjin Choi, Saehoon Kim, Tackgeun You, 2019, ArXiv.

CUR+NMF for learning spectral features from large data matrix

Seungjin Choi, Hyekyoung Lee, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation

Minje Kim, Seungjin Choi, Seungjin Choi, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds

Seungjin Choi, Jiho Yoo, Seungjin Choi, 2008, IDEAL.

Blind Equalization of Multiple Channel with Selected Equalizer Delay

Seungjin Choi, In Seon Jang, 2001 .

Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM

Young-Hwan You, Hyoung-Kyu Song, Seungjin Choi, 2018, IEICE Trans. Commun..

Bayesian common spatial patterns for multi-subject EEG classification

Seungjin Choi, Hyohyeong Kang, Seungjin Choi, 2014, Neural Networks.

Semi-Supervised Nonnegative Matrix Factorization

Seungjin Choi, Hyekyoung Lee, Jiho Yoo, 2010, IEEE Signal Processing Letters.

Bridging the gap: Social networks as a theoretical mechanism linking public service motivation and performance

Seungjin Choi, Seungjin Choi, 2016 .

F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation

Seungjin Choi, Inseon Jang, Kyeongok Kang, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Manifold Integration with Markov Random Walks

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2008, AAAI.

Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction

Seungjin Choi, Jiho Yoo, Seungjin Choi, 2009, ACML.

Target speech extractionwith learned spectral bases

Sunho Park, Seungjin Choi, Jiho Yoo, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors

Seungjin Choi, Sojeong Ha, Seungjin Choi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization

Seungjin Choi, Yong-Deok Kim, 2013, IEEE Signal Processing Letters.

Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation

Minje Kim, Seungjin Choi, Kyeongok Kang, 2011, IEEE Journal of Selected Topics in Signal Processing.

Bilinear random projections for locality-sensitive binary codes

Seungjin Choi, Saehoon Kim, Seungjin Choi, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Factorial Code Representation of Faces for Recognition

Seungjin Choi, Oyoung Lee, 2000, Biologically Motivated Computer Vision.

Two-Dimensional Canonical Correlation Analysis

Seungjin Choi, Sun Ho Lee, Seungjin Choi, 2007, IEEE Signal Processing Letters.

Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search

Seung-won Hwang, Sameh Elnikety, Yuxiong He, 2015, WSDM.

Immersive BCI with SSVEP in VR head-mounted display

Seungjin Choi, Yunjun Nam, Bonkon Koo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Matrix Co-Factorization on Compressed Sensing

Seungjin Choi, Jiho Yoo, 2011, IJCAI.

Self-labeling for P300 detection

Seungjin Choi, Sangmin Lee, Yunjun Nam, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Tree-Dependent Components of Gene Expression Data for Clustering

Seungjin Choi, Jong Kyoung Kim, 2006, ICANN.

APPROXIMATE MAXIMUM LIKELIHOOD SOURCE SEPARATION

Seungjin Choi, 2001 .

Relative trust region learning for ICA

Seungjin Choi, Heeyoul Choi, Seungjin Choi, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds

Seungjin Choi, Jiho Yoo, Seungjin Choi, 2010, Inf. Process. Manag..

Nyström Approximations for Scalable Face Recognition: A Comparative Study

Seungjin Choi, Jeong-Min Yun, 2011, ICONIP.

Semi-supervised Learning on Bi-relational Graph for Image Annotation

Seungjin Choi, Kye-Hyeon Kim, Hien Duy Pham, 2014, 2014 22nd International Conference on Pattern Recognition.

Supervised multi-modal topic model for image annotation

Seungjin Choi, Thu Hoai Tran, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Manifold-respecting discriminant nonnegative matrix factorization

Seungjin Choi, Jiho Yoo, Shounan An, 2011, Pattern Recognit. Lett..

Nonnegative Tucker decomposition with alpha-divergence

Andrzej Cichocki, Seungjin Choi, Yong-Deok Kim, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A constrained sequential EM algorithm for speech enhancement

Sunho Park, Seungjin Choi, Seungjin Choi, 2008, Neural Networks.

Geometric programming for aggregation of binary classifiers

Sunho Park, Seungjin Choi, Seungjin Choi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2010, ICONIP.

Tongue-Rudder: A Glossokinetic-Potential-Based Tongue–Machine Interface

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2012, IEEE Transactions on Biomedical Engineering.

Shaping meanings for language: universal and language-specific in the acquisition of spatial semanti

Seungjin Choi, Melissa Bowerman, M. Bowerman, 2001 .

Adaptive Differential Decorrelation: A Natural Gradient Algorithm

Seungjin Choi, Seungjin Choi, 2002, ICANN.

Sparse Circulant Binary Embedding: An Asymptotic Analysis

Seungjin Choi, Saehoon Kim, 2018, IEEE Signal Processing Letters.

Nonnegative Matrix Factorization with Orthogonality Constraints

Seungjin Choi, Jiho Yoo, Seungjin Choi, 2010, J. Comput. Sci. Eng..

Learning α-integration with partially-labeled data

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

The latent learning model to derive semantic relations of words from unstructured text data in social media

Seungjin Choi, Jiwan Seo, Sangyong Han, 2018, Multimedia Tools and Applications.

Ensembles of landmark multidimensional scalings

Seunghak Lee, Seungjin Choi, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria

Ruey-Wen Liu, Seungjin Choi, 1997, ESANN.

Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility pdf

Seungjin Choi, Juho Lee, Seungjin Choi, 2015, AISTATS.

Hierarchical Bayesian Matrix Factorization with Side Information

Sunho Park, Seungjin Choi, Yong-Deok Kim, 2013, IJCAI.

Adaptive K-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector

Hyoung-Kyu Song, Seungjin Choi, Jae-Hyun Ro, 2017, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule

Shun-ichi Amari, Seungjin Choi, Andrzej Cichocki, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Contrast enhancement of missile video sequences via image stabilization and product correlation

Yih-Fang Huang, Ruey-Wen Liu, Seungjin Choi, 1995 .

A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition

Seungjin Choi, Sung Yang Bang, JaeMo Sung, 2006, Pattern Recognit. Lett..

Dependent stotchastic blockmodels

Seungjin Choi, Sojeong Ha, Eunsil Gim, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Equivariant Nonstationary Source Separation

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2002 .

Clustering sequence sets for motif discovery

Seungjin Choi, Jong Kyoung Kim, Seungjin Choi, 2009, NIPS.

Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1997, ICONIP.

Differential learning and random walk model

Seungjin Choi, Seungjin Choi, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2007, ICANNGA.

Online Video Segmentation by Bayesian Split-Merge Clustering

Bohyung Han, Seungjin Choi, Suha Kwak, 2012, ECCV.

Several improvements of the Hérault-Jutten model for speech segregation

Frédéric Berthommier, Seungjin Choi, Seungjin Choi, 2003 .

SSVEP response on Oculus Rift

Seungjin Choi, Bonkon Koo, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework

Bohyung Han, Seungjin Choi, Yong-Deok Kim, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Topographic Independent Component Analysis of Gene Expression Time Series Data

Seungjin Choi, Sookjeong Kim, 2006, ICA.

Two-dimensional correlated topic models

Seungjin Choi, Suwon Suh, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind separation of nonstationary and temporally correlated sources from noisy mixtures

Seungjin Choi, Andrzej Cichocki, Seungjin Choi, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Source Separation with Gaussian Process Models

Sunho Park, Seungjin Choi, 2007, ECML.

Blind deconvolution of linear MIMO systems driven by arbitrarily distributed sources

Seungjin Choi, Youngki Lyu, 1999, Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030).

Adaptive Blind Signal Separation for Multiuser Communications : An Information-theoretic Approach

Seungjin Choi, 1999 .

Composite Common Spatial Pattern for Subject-to-Subject Transfer

Seungjin Choi, Yunjun Nam, Hyohyeong Kang, 2009, IEEE Signal Processing Letters.

Clustering with r-regular graphs

Seungjin Choi, Jong Kyoung Kim, Seungjin Choi, 2009, Pattern Recognit..

Independent arrays or independent time courses for gene expression time series

Seungjin Choi, Sookjeong Kim, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Adaptive Blind Equalization for Multichannel Transmission via Temporal Decorrelation

Seungjin Choi, 1999 .

Correlation matching approach to source separation in the presence of spatially correlated noise

Andrzej Cichocki, Seungjin Choi, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Constrained Projection Approximation Algorithms for Principal Component Analysis

Andrzej Cichocki, Jong-Hoon Ahn, Seungjin Choi, 2006, Neural Processing Letters.

Wake-Sleep PCA

Seungjin Choi, 2007, 2007 International Joint Conference on Neural Networks.

Blind Equalization of Multiple Channels via Blind Source Separation

Seungjin Choi, Inseon Jang, 2002 .

On Local Optimizers of Acquisition Functions in Bayesian Optimization pdf

Seungjin Choi, Jungtaek Kim, Seungjin Choi, 2019, ECML/PKDD.

A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure

Seungjin Choi, Juho Lee, François Caron, 2018, AISTATS.

P.37: Novel Gray‐toneless Technology for Mask Reduction in High Aperture Rate FFS Mode

Min-Sung Kang, Seungjin Choi, Niu Jing, 2013 .

Semidefinite spectral clustering

Seungjin Choi, Jaehwan Kim, Seungjin Choi, 2006, Pattern Recognit..

Bayesian Aggregation of Binary Classifiers

Sunho Park, Seungjin Choi, Seungjin Choi, 2010, 2010 IEEE International Conference on Data Mining.

On Spectral Basis Selection for Single Channel Polyphonic Music Separation

Minje Kim, Seungjin Choi, 2005, ICANN.

Linear Neural Networks with FIR Synapses for Blind Equalization

Seungjin Choi, 1998 .

Blind Multiuser Signal Separation Using Antenna Arrays

Seungjin Choi, 1998 .

Label propagation through minimax paths for scalable semi-supervised learning

Seungjin Choi, Kye-Hyeon Kim, Seungjin Choi, 2014, Pattern Recognit. Lett..

Multi-subject EEG classification: Bayesian nonparametrics and multi-task learning

Seungjin Choi, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Hybrid learning approach to blind deconvolution of linear MIMO systems

Seungjin Choi, Andrzej Cichocki, A. Cichocki, 1999 .

Sequential Spectral Learning to Hash with Multiple Representations

Seungjin Choi, Saehoon Kim, Yoonseop Kang, 2012, ECCV.

A COMPARISION OF PCA/ICA FOR DATA PREPROCESSING IN A GEOSCIENCE APPLICATION

Seungjin Choi, P. M. Wong, Yanping Niu, 2001 .

Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation

Frédéric Berthommier, Seungjin Choi, 2002, INTERSPEECH.

Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition

Hyoung-Kyu Song, Seungjin Choi, Jong-Kwang Kim, 2017, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Walking on Minimax Paths for k-NN Search

Seungjin Choi, Kye-Hyeon Kim, Seungjin Choi, 2013, AAAI.

A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic $$ H^{{15}}_{2} O $$ PET

Seungjin Choi, Jae Sung Lee, Dong Soo Lee, 2007, J. VLSI Signal Process..

Principal network analysis: identification of subnetworks representing major dynamics using gene expression data

Seungjin Choi, Leroy Hood, Yongsoo Kim, 2011, Bioinform..

Independent Component Analysis

Seungjin Choi, 2015, Encyclopedia of Biometrics.

Robust part-based face matching with multiple templates

Zhengyou Zhang, Seungjin Choi, Cha Zhang, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Sequential EM learning for subspace analysis

Seungjin Choi, Seungjin Choi, 2002, Pattern Recognit. Lett..

An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment

Andrzej Cichocki, Seungjin Choi, A. Cichocki, 1999, Journal of Communications and Networks.

Acoustic Source Separation: Fundamental Issues

Seungjin Choi, Seungjin Choi, 1999 .

Inference of dynamic networks using time-course data

Seungjin Choi, Yongsoo Kim, Daehee Hwang, 2014, Briefings Bioinform..

Hierarchical Gaussian Process Regression

Sunho Park, Seungjin Choi, Seungjin Choi, 2010, ACML.

On the Optimal Bit Complexity of Circulant Binary Embedding

Seungjin Choi, Saehoon Kim, Jungtaek Kim, 2018, AAAI.

HMM-based Motion Recognition with 3-D Acceleration Signal

Seungjin Choi, Sunghoon Yim, Seokhee Jeon, 2009 .

RECOGNITION: A DYNAMIC RECURRENT NETWORK

Hervé Glotin, Frédéric Berthommier, Seungjin Choi, 2022 .

Flexible Nonlinear Learning for Source Separation

Seungjin Choi, 2000 .

Learning principal directions: Integrated-squared-error minimization

Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh, 2007, Neurocomputing.

A relative trust-region algorithm for independent component analysis

Seungjin Choi, Heeyoul Choi, Seungjin Choi, 2007, Neurocomputing.

Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization pdf

Seungjin Choi, Jungtaek Kim, 2019, ArXiv.

POSTECH BCIs with machine learning

Seungjin Choi, 2014, 2014 International Winter Workshop on Brain-Computer Interface (BCI).

Near Duplicate Image Discovery on One Billion Images

Lei Zhang, Seungjin Choi, Xin-Jing Wang, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Blind separation of second-order nonstationary and temporally colored sources

Seungjin Choi, Andrzej Cichocki, Adel Belouchrani, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models

Seungjin Choi, Juho Lee, 2015, NIPS.

The Method of Trust and Reputation Systems Based on Link Prediction and Clustering

Seungjin Choi, Sang-Yong Han, Jiwan Seo, 2013, IFIPTM.

Independent Subspaces of Gene Expression Data

Seungjin Choi, Hyejin Kim, 2005, Artificial Intelligence and Applications.

Algorithms for orthogonal nonnegative matrix factorization

Seungjin Choi, Seungjin Choi, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Supervised Learning

Seungjin Choi, Jong Kyoung Kim, Kye-Hyeon Kim, 2015, Encyclopedia of Biometrics.

ON-LINE SEQUENTIAL MULTICHANNEL BLIND DECONVOLUTION: A DEFLATION APPROACH

Seungjin Choi, Seungjin Choi, 2002 .

Meta-Learning with Adaptive Layerwise Metric and Subspace pdf

Seungjin Choi, Yoonho Lee, Seungjin Choi, 2018, ArXiv.

P‐16: Novel Four‐Mask Process in the FFS TFT‐LCD with Optimum Multiple‐Slit Design Applied by the use of a Gray‐Tone Mask

Seungjin Choi, Jin Jang, Young Jin Lim, 2005 .

Parameter Learning for Alpha Integration

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2013, Neural Computation.

Flexible Independent Component Analysis

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2000, J. VLSI Signal Process..

Nonnegative Matrix Factorization for Motor Imagery EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2006, ICANN.

Data selection based on Bayesian error bar

Sungzoon Cho, Seungjin Choi, P. M. Wong, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks

Seungjin Choi, Hyohyeong Kang, Yong-Deok Kim, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Scalable Semi -supervised Preference Learning for Web Search

Seungjin Choi, Kye-Hyeon Kim, 2011 .

Relative Gradient Learning for Independent Subspace Analysis

Seungjin Choi, Heeyoul Choi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection

Seungjin Choi, Yoonseop Kang, Seungjin Choi, 2009, ICONIP.

Nonnegative Tensor Factorization for Continuous EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2007, Int. J. Neural Syst..

Echo-state conditional variational autoencoder for anomaly detection

Seungjin Choi, Daniel H. Chae, Hyon-Goo Kang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Supervised Learning

Seungjin Choi, Jong Kyoung Kim, Kye-Hyeon Kim, 2009, Encyclopedia of Biometrics.

F-SEONS: a second-order frequency domain algorithm for convolutive source separation in noisy environments [speech recognition applications]

Seungjin Choi, Inseon Jang, Sangki Kim, 2004, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004..

Sequence-driven Features for Prediction of Subcellular Localization of Proteins

Seungjin Choi, Jong Kyoung Kim, Sung Yang Bang, 2022 .

Group Nonnegative Matrix Factorization for EEG Classification

Seungjin Choi, Hyekyoung Lee, Hyekyoung Lee, 2009, AISTATS.

Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2007, ICB.

APPLICATION OF NON-NEGATIVE MATRIX FACTORIZATION TO DYNAMIC POSITRON EMISSION TOMOGRAPHY

Daniel D. Lee, Seungjin Choi, Jae Sung Lee, 2001 .

Kernel nonnegative matrix factorization for spectral EEG feature extraction

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2009, Neurocomputing.

Weighted nonnegative matrix factorization

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

On Variations of Power Iteration

Seungjin Choi, 2005, ICANN.

Set Transformer

Yee Whye Teh, Seungjin Choi, Juho Lee, 2018, ICML.

Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance

Minje Kim, Seungjin Choi, Seungjin Choi, 2006, ICA.

Subspace clustering of data streams: new algorithms and effective evaluation measures

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2014, Journal of Intelligent Information Systems.

Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2010, Aust. J. Intell. Inf. Process. Syst..

Independent Component Analysis

Seungjin Choi, 2009, Encyclopedia of Biometrics.

Contrast enhancement of missile data through image sequence stabilization and product correlation

Yih-Fang Huang, Ruey-Wen Liu, Seungjin Choi, 1994, Electronic Imaging.

Linear Neural Networks with FIR Synapses for Blind Deconvolution and Equalization

Seungjin Choi, 1999 .

Target Speaker Speech Restoration via Spectral bases Learning

Sunho Park, Seungjin Choi, Jiho Yoo, 2009 .

Gaussian process regression for voice activity detection and speech enhancement

Sunho Park, Seungjin Choi, Seungjin Choi, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Effective Evaluation Measures for Subspace Clustering of Data Streams

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2013, PAKDD Workshops.

Maximum within-cluster association

Seungjin Choi, Yongjin Lee, 2005, Pattern Recognit. Lett..

TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information

Seungjin Choi, Yongsoo Kim, Daehee Hwang, 2014, Bioinform..

Manifold Alpha-Integration

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2010, PRICAI.

Frequency detection for SSVEP-based BCI using deep canonical correlation analysis

Seungjin Choi, Bonkon Koo, Hanh Vu, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Bayesian multi-subject common spatial patterns with Indian Buffet process priors

Seungjin Choi, Hyohyeong Kang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Iterative Projection Approximation Algorithms for PCA

Andrzej Cichocki, Jong-Hoon Ahn, Seungjin Choi, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Bayesian inference on random simple graphs with power law degree distributions

Zoubin Ghahramani, Seungjin Choi, Juho Lee, 2017, ICML.

Cascade neural networks for multichannel blind deconvolution

Seungjin Choi, A. Cichoeki, Seungjin Choi, 1998 .

Common spatial patterns for steady-state somatosensory evoked potentials

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of post-translational phosphorylation of proteins using multiple kernel learning(Biometrics1)

Seungjin Choi, Jong Kyoung Kim, Sanguk Kim, 2006 .

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2008, Computer.

Why blind source separation for blind equalization of multiple channels?

Seungjin Choi, Inseon Jang, 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

Hashing with Generalized Nyström Approximation

Seungjin Choi, Saehoon Kim, Jeong-Min Yun, 2012, 2012 IEEE 12th International Conference on Data Mining.

Gaussian processes for source separation

Sunho Park, Seungjin Choi, Seungjin Choi, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Incorporating the Temporal Structure of Sources into Independent Component Analysis

Seungjin Choi, 1999 .

Differential ICA

Seungjin Choi, 2003, ICANN.

Multi-modal Convolutional Neural Networks for Activity Recognition

Seungjin Choi, Jeong-Min Yun, Sojeong Ha, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Scalable Variational Bayesian Matrix Factorization with Side Information

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2014, AISTATS.

GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2014, IEEE Transactions on Biomedical Engineering.

Improved Motion-Recognizing Remote Controller for Realistic Contents

Seungjin Choi, Sunghoon Yim, Seungmoon Choi, 2009, INTERACT 2009.

U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models

Zoubin Ghahramani, Seungjin Choi, Sung Yang Bang, 2005, ECML.

A linear feedforward neural network with lateral feedback connections for blind source separation

Seungjin Choi, Andrzej Cichocki, Andrzej Cichocki, 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

MULTIPLE NONNEGATIVE-MATRIX FACTORIZATION OF DYNAMIC PET IMAGES

Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh, 2004 .

Nonnegative Tucker Decomposition

Seungjin Choi, Yong-Deok Kim, Yong-Deok Kim, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Semi-supervised Discriminant Hashing

Seungjin Choi, Saehoon Kim, 2011, 2011 IEEE 11th International Conference on Data Mining.

Clustering-Guided Gp-Ucb for Bayesian Optimization

Seungjin Choi, Jungtaek Kim, Seungjin Choi, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound

Seungjin Choi, Jiho Yoo, 2011, ECML/PKDD.

Local stability analysis of flexible independent component analysis algorithm

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Imaging Spectroscopy

Alessandro Neri, Arun Ross, Qionghai Dai, 2009, Encyclopedia of Biometrics.

Independence or non-negativity: constraints for sensory coding

Seungjin Choi, Seungjin Choi, 2004 .

Rectified subspace analysis of dynamic positron emission tomography

Seungjin Choi, Jae Sung Lee, Dong Soo Lee, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Image Acquisition

Alessandro Neri, Arun Ross, Qionghai Dai, 2009, Encyclopedia of GIS.

AutoML Challenge: AutoML Framework Using Random Space Partitioning Optimizer

Seungjin Choi, Jungtaek Kim, Jongheon Jeong, 2016 .

Automated Machine Learning for Soft Voting in an Ensemble of Tree-based Classifiers

Seungjin Choi, Jungtaek Kim, 2018 .