Seungjin Choi

发表

Blind Source Separation and Independent Component Analysis : A Review

Seungjin Choi, 2004 .

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

Blind separation of nonstationary sources in noisy mixtures

A. Cichocki, Seungjin Choi, 2000 .

Fast stochastic neighbor embedding: a trust-region algorithm

Seungjin Choi, Kijoeng Nam, Hongmo Je, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Self-adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with an un

A. Cichocki, Seungjin Choi, B. Orsier, 1997 .

Differential Hebbian-type learning algorithms for decorrelation and independent component analysis

Seungjin Choi, 1998 .

Blind signal deconvolution by spatio-temporal decorrelation and demixing

A. Cichocki, Seungjin Choi, Andrzej Cichocki, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Flexible Independent Component Analysis

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

DIFFERENTIAL DECORRELATION FOR NONSTATIONARY SOURCE SEPARATION

Seungjin Choi, Y. Deville, 2001 .

Adaptive Blind Separation of Speech Signals : Cocktail

Seungjin Choi, 1997 .

Comparison of ICA/BSS algorithms for noisy data

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

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

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

Source Separation, ICA via Unsupervised Learning: Information-theoretic Approach and Conditions on Cross-cumulants

Seungjin Choi, 2007 .

Natural Gradient Learning Algorithms for Decorrelation

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

Natural Gradient Learning for Spatio-Temporal Decorrelation: Recurrent Network

Seungjin Choi, Seungjin Choi, 2000 .

Two-stage neural network for blind sources separation

Seungjin Choi, Ruey-Wen Liu, 1996, Proceedings of the 39th Midwest Symposium on Circuits and Systems.

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).

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).

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).

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).

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 .

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).

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..

Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification

Seungjin Choi, 2021, 2021 9th International Winter Conference on Brain-Computer Interface (BCI).

Adaptive Natural Gradient Algorithms for Spatio-temporal Decorrelation

Seungjin Choi, Seungjin Choi, 2000 .

A Fundamental Theorem for Acoustic Source Separation

Seungjin Choi, Seungjin Choi, 2000 .

Trust-region learning for ICA

Heeyoul Choi, Sookjeong Kim, Seungjin Choi, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Maximum Likelihood Source Separation from Noisy Mixtures

Seungjin Choi, Seungjin Choi, 2001 .

Equivariant nonstationary source separation

S. Amari, A. Cichocki, Seungjin Choi, 2002, Neural Networks.

Algebraic differential decorrelation for nonstationary source separation

Andrzej Cichocki, A. Cichocki, Seungjin Choi, 2001 .

Adaptive Blind Separation of Speech Signals: Cocktail Party Problem

Seungjin Choi, Andrzej Cichock, Seungjin Choi, 1997 .

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).

Hybrid learning approach to blind deconvolution of linear MIMO systems

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

Cascade neural networks for multichannel blind deconvolution

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

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.

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.

Real-time classification of Fear / Panic emotion based on Physiological Signals

Jungchul Park, Sung H. Han, Jaemin Chun, 2007 .