Takio Kurita

发表

Principal Component Analysis (PCA)

Takio Kurita, T. Kurita, A. Pomerantsev, 2014, Encyclopedia of Autism Spectrum Disorders.

An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories

Takio Kurita, Rameswar Debnath, T. Kurita, 2010, Biosyst..

Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks pdf

Takio Kurita, Kakeru Mitsuno, T. Kurita, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Discriminative Subtree Selection for NBI Endoscopic Image Labeling

Shinji Tanaka, Kazufumi Kaneda, Takio Kurita, 2016, ACCV Workshops.

Domain Adaptation with L2 constraints for classifying images from different endoscope systems pdf

Shinji Tanaka, Kazufumi Kaneda, Takio Kurita, 2016, ArXiv.

Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification

Shinji Tanaka, Kazufumi Kaneda, Takio Kurita, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation

Takio Kurita, Jonathan Mojoo, Keiichi Kurosawa, 2017, ICIAR.

Correlation Net: Spatiotemporal multimodal deep learning for action recognition

Novanto Yudistira, Takio Kurita, T. Kurita, 2018, Signal Process. Image Commun..

Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients

Hiroshi Yamada, Takio Kurita, Junichi Miyao, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques

Takio Kurita, Muthu Subash Kavitha, Byeong-Cheol Ahn, 2018, Comput. Biol. Medicine.

Scale Invariant Face Detection and Classification Method Using Shift Invariant Features Extracted from Log-Polar Image

Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima, 2001 .

Deep Neural Network Models for Colon Cancer Screening

B. Ahn, T. Kurita, B. V. Venmathi Maran, 2022, Cancers.

Mixture of experts with convolutional and variational autoencoders for anomaly detection

Qien Yu, Muthu Subash Kavitha, Takio Kurita, 2020, Applied Intelligence.

Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval

Jonathan MOJOO, Takio KURITA, T. Kurita, 2021, IEICE Trans. Inf. Syst..

Scene Classification using Spatial Relationship between Local Posterior Probabilities

Takio Kurita, Tetsu Matsukawa, Tetsu Matsukawa, 2010, VISAPP.

Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval

Takio Kurita, Takashi Takahashi, Takashi Takahashi, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Takio Kurita, Shigesumi Kuwashima, Jin Yamanaka, 2017, ICONIP.

Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks

Takio Kurita, Akinori Hidaka, Akinori Hidaka, 2017 .

Improved Generalization by Adding both Auto-Association and Hidden-Layer-Noise to Neural-Network-Based-Classifiers

H. Inayoshi, T. Kurita, H. Inayoshi, 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing.

Sparse discriminant analysis based on estimation of posterior probabilities

T. Kurita, Akinori Hidaka, Kenji Watanabe, 2019, Journal of Applied Statistics.

Selection of Histograms of Oriented Gradients Features for Pedestrian Detection

Takio Kurita, Takuya Kobayashi, Akinori Hidaka, 2007, ICONIP.

Robust De-noising by Kernel PCA

Takio Kurita, Takashi Takahashi, Takashi Takahashi, 2002, ICANN.

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

Takio Kurita, Novanto Yudistira, N. Yudistira, 2017, EURASIP J. Image Video Process..

Correlation Net : spatio temporal multimodal deep learning pdf

Takio Kurita, Novanto Yudistira, T. Kurita, 2018, ArXiv.

Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis

Takio Kurita, Akinori Hidaka, Akinori Hidaka, 2018 .

International Journal of Affective Engineering

Motaz Sabri, Takio Kurita, 2013 .

Improvement of learning for CNN with ReLU activation by sparse regularization

Takio Kurita, Hidenori Ide, T. Kurita, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Active Agent Oriented Multimodal Interface System

Kazuyo Tanaka, Kazuhiko Yamamoto, Satoru Hayamizu, 1995, IJCAI.

A modification of kernel-based Fisher discriminant analysis for face detection

Takio Kurita, Toshiharu Taguchi, Toshiharu Taguchi, 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

Randomized and Dimension Reduced Kernel Generation for Support Vector Machine

Takio Kurita, Akinori Hidaka, Akinori Hidaka, 2015 .

Selective integration of local‐feature detector by boosting for pedestrian detection

Kenji Nishida, Takio Kurita, T. Kurita, 2011 .

RANSAC-SVM for large-scale datasets

Takio Kurita, Kenji Watanabe, T. Kurita, 2008, 2008 19th International Conference on Pattern Recognition.

Boosting with cross-validation based feature selection for pedestrian detection

Kenji Nishida, Takio Kurita, T. Kurita, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface

Takio Kurita, Luc Berthouze, Kenji Tanaka, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection

Kenji Nishida, Takio Kurita, T. Kurita, 2005, Multiple Classifier Systems.

Ensemble Random-subset SVM

Jun Fujiki, Kenji Nishida, Takio Kurita, 2011, IJCCI.

Support Vector Machine and Generalization Takio Kurita

T. Kurita, Takio Kurita, 2004 .

Facial Image Manipulation via Discriminative Decomposition of Semantic Space

Hiroaki Aizawa, Takio Kurita, Jiazhou Zheng, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Convolutional autoencoder based on latent subspace projection for anomaly detection.

Ye Zhu, Qien Yu, Chen Li, 2023, Methods.

Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine (Special Issue on the 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications(2))

Takio Kurita, Akinori Hidaka, Akinori Hidaka, 2016 .

Summary of Works on Image Classification with Noisy Labels

T. Kurita, Yuichiro Nomura, Takio Kurita, 2022, 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia).

Consistency Regularization on Clean Samples for Learning with Noisy Labels

T. Kurita, Yuichiro Nomura, Takio Kurita, 2022, IEICE Trans. Inf. Syst..

Texture Segmentation using Siamese Network and Hierarchical Region Merging

Takio Kurita, Novanto Yudistira, Ryusuke Yamada, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval

Takashi Takahashi, Takio Kurita, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Classification Using a Mixture of Subspace Models

Takio Kurita, Takashi Takahashi, Takashi Takahashi, 2014, IPSJ Trans. Comput. Vis. Appl..

Jijo-2: An Office Robot that Communicates and Learns

Ben J. A. Kröse, Satoru Hayamizu, Takio Kurita, 2001, IEEE Intell. Syst..

Multi-projection deep learning network for segmentation of 3D medical images

Takio Kurita, Nanik Suciati, Rarasmaya Indraswari, 2019, Pattern Recognit. Lett..

Sparse Logistic Discriminant Analysis

Takio Kurita, Kenji Watanabe, Akinori Hidaka, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Discriminant Kernels derived from the optimum nonlinear discriminant analysis

Takio Kurita, T. Kurita, Takio Kurita, 2011, The 2011 International Joint Conference on Neural Networks.

Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features

Kenji Nishida, Takio Kurita, Akinori Hidaka, 2008, IEICE Trans. Inf. Syst..

Fast Training Algorithm by Particle Swarm Optimization for Rectangular Feature Based Boosted Detector

Takio Kurita, Akinori Hidaka, Akinori Hidaka, 2008 .

Analysis of texture characteristics associated with visual complexity perception

Chie Muraki Asano, T. Kurita, A. Asano, 2012 .

Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system

Takio Kurita, Akira Taguchi, Akira Asano, 2012, BMC Medical Imaging.

Marker based simple non-overlapping camera calibration

Kazufumi Kaneda, Takio Kurita, Bisser Raytchev, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance Segmentation

T. Kurita, Shinji Uchinoura, Takio Kurita, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection

Takio Kurita, Qien Yu, Muthusubash Kavitha, 2021, Neural Computing and Applications.

Visual Interaction with Electronic Art Gallery

Toshikazu Kato, Takio Kurita, Toshikazu Kato, 1990, DEXA.

Estimation of Camera Rotation Using Quasi Moment Features

T. Mishima, T. Shigehara, Masaru Tanaka, 2000 .

Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells

Jae-Sung Bae, Sung-Il Chien, Soon-Yong Park, 2017, PloS one.

Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization

Takio Kurita, Kenji Watanabe, Akinori Hidaka, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factorization

Takio Kurita, Kenji Watanabe, T. Kurita, 2007, ICONIP.

広島大学学術情報リポジトリ Hiroshima University Institutional Repository Title Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information

N. Otsu, Akinori Hidaka, Kenji Watanabe, 2022 .

Improvements of Local Descriptor in HOG/SIFT by BOF Approach

Takio Kurita, Zhouxin Yang, Zhouxin Yang, 2014, IEICE Trans. Inf. Syst..

An efficient agglomerative clustering algorithm using a heap

Takio Kurita, T. Kurita, Takio Kurita, 1991, Pattern Recognit..

Tree-Wise Discriminative Subtree Selection for Texture Image Labeling

TSUBASA HIRAKAWA, TORU TAMAKI, TAKIO KURITA, 2017, IEEE Access.

An edge-based approach for the segmentation of 3-D range images of small industrial-like objects

T. Kurita, Nabih N. Abdelmalekj, Takio Kurita, 1992 .