A New Scheme for Practical Flexible and Intelligent Vision Systems. - Nobuyuki Otsu; Takio Kurita (MVA, 1988)

Visual Interaction with Electronic Art Gallery. - Toshikazu Kato; Takio Kurita (DEXA, 1990)

Multimedia interaction with image database systems. - Toshikazu Kato; Takio Kurita; Hiroyuki Shimogaki (ACM SIGCHI Bull., 1990)

An efficient agglomerative clustering algorithm using a heap. - Takio Kurita (Pattern Recognit., 1991)

A sketch retrieval method for full color image database-query by visual example. - Toshikazu Kato; Takio Kurita; Nobuyuki Otsu; Kyoji Hirata (ICPR (1), 1992)

A face recognition method using higher order local autocorrelation and multivariate analysis. - Takio Kurita; Nobuyuki Otsu; Tomomasa Sato (ICPR (2), 1992)

Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights. - Takio Kurita; Pierre Boulanger (MVA, 1992)

Complex Autoregressive Model for Shape Recognition. - Iwao Sekita; Takio Kurita; Nobuyuki Otsu (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Maximum likelihood thresholding based on population mixture models. - Takio Kurita; Nobuyuki Otsu; Nabih N. Abdelmalek (Pattern Recognit., 1992)

Adaptive algorithm selection method (AASM) for dynamic software tuning. - Kuniyasu Suzaki; Takio Kurita; Hitoshi Tanuma; Satoshi Hirano (COMPSAC, 1993)

Learning of personal visual impression for image database systems. - Takio Kurita; Toshikazu Kato (ICDAR, 1993)

System Identification using Structured Genetic Algorithms. - Hitoshi Iba; Takio Kurita; Hugo de Garis; Taisuke Sato (ICGA, 1993)

Author's reply. - Takio Kurita (Pattern Recognit., 1993)

A method of block truncation coding for color image compression. - Takio Kurita; Nobuyuki Otsu (IEEE Trans. Commun., 1993)

An Efficient Agglomerative Clustering Algorithm for Region Growing. - Takio Kurita (MVA, 1994)

Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers. - Takio Kurita (New Gener. Comput., 1994)

Invariant distance measures for planar shapes based on complex autoregressive model. - Takio Kurita; Iwao Sekita; Nobuyuki Otsu (Pattern Recognit., 1994)

Image understanding via representation of the projected motion group. - Masaru Tanaka; Takio Kurita; Shinji Umeyama (Pattern Recognit. Lett., 1994)

Active Agent Oriented Multimodal Interface System. - Osamu Hasegawa; Katsunobu Itou; Takio Kurita; Satoru Hayamizu; Kazuyo Tanaka; Kazuhiko Yamamoto; Nobuyuki Otsu (IJCAI, 1995)

An Efficient Clustering Algorithm for Region Merging. - Takio Kurita (IEICE Trans. Inf. Syst., 1995)

Influence of noises added to hidden units on learning of multilayer perceptrons and structurization of networks. - Takio Kurita; Hideki Asoh; Shinji Umeyama; Shotaro Akaho; Akitaka Hosomi (Syst. Comput. Jpn., 1996)

Thresholding methods considering the quantization error of an image. - Iwao Sekita; Takio Kurita; Nobuyuki Otsu; Nabih N. Abdelmalek (Syst. Comput. Jpn., 1996)

Higher order local autocorrelation features of PARCOR images for gesture recognition. - Takio Kurita; Yasuo Kobayashi; Taketoshi Mishima (ICIP (3), 1997)

Scale and Rotation Invariant Recognition Method Using Higher-Order Local Autocorrelation Features of Log-Polar Image. - Takio Kurita; Kazuhiro Hotta; Taketoshi Mishima (ACCV (2), 1998)

On-Line Compression of High Precision Printer Images by Evolvable Hardware. - Mehrdad Salami; Hidenori Sakanashi; Masaharu Tanaka; Masaya Iwata; Takio Kurita; Tetsuya Higuchi (Data Compression Conference, 1998)

Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image. - Kazuhiro Hotta; Takio Kurita; Taketoshi Mishima (FG, 1998)

Gesture Recognition Using HLAC Features of PARCOR Images and HMM Based Recognizer. - Takio Kurita; Satoru Hayamizu (FG, 1998)

Data Compression for Digital Color Electrophotographic Printer with Evolvable Hardware. - Masaharu Tanaka; Hidenori Sakanashi; Mehrdad Salami; Masaya Iwata; Takio Kurita; Tetsuya Higuchi (ICES, 1998)

Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. - Shotaro Akaho; Yoshiyasu Goto; Takio Kurita; Hiroshi Mizoguchi (ICONIP, 1998)

Dynamic attention map by Ising model for human face detection. - Masaru Tanaka; Kazuhiro Hotta; Taketoshi Mishima; Takio Kurita (ICPR, 1998)

Integrated Natural Spoken Dialogue System of Jijo-2 Mobile Robot for Office Services. - Toshihiro Matsui; Hideki Asoh; John Fry; Yoichi Motomura; Futoshi Asano; Takio Kurita; Isao Hara; Nobuyuki Otsu (AAAI/IAAI, 1999)

Communicative functions to support human robot cooperation. - Isao Hara; Alexander Zelinsky; Toshihiro Matsui; Hideki Asoh; Takio Kurita; Masaru Tanaka; Kazuhiro Hotta (IROS, 1999)

Face Matching through Information Theoretical Attention Points and Its Applications to Face Detection and Classification. - Kazuhiro Hotta; Taketoshi Mishima; Takio Kurita; Shinji Umeyama (FG, 2000)

Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search. - Takio Kurita; Masaru Tanaka; Kazuhiro Hotta; Hiroyuki Shimai; Taketoshi Mishima (ICPR, 2000)

Reconstructing Optical Flow Generated by Camera Rotation via Autoassociative Learning. - Takashi Takahashi; Takio Kurita (IJCNN (4), 2000)

Feature Ordering by Cross Validation for Face Detection. - Takio Kurita; Kazuhiro Hotta; Taketoshi Mishima (MVA, 2000)

Self-Organization of Viewpoint Dependent Face Representation by the Self-Supervised Learning and Viewpoint Independent Face Recognition by the Mixture of Classifiers. - Takio Kurita; Hiroyuki Shimai; Taketoshi Mishima; Takashi Takahashi (MVA, 2000)

Gaze control on virtual active vision system with binocular fish-eye lenses. - Takio Kurita; Hiroyuki Shimai; Yasutaka Baba; Taketoshi Mishima; Masaru Tanaka; Shotaro Akaho; Shinji Umeyama (SMC, 2000)

Vision-Based Recognition of the Hand Postures using Self-Organizing Map and Linear Discriminant Analysis. - Katsuya Yasumoto; Takio Kurita; Takashi Takahashi (INTERACT, 2001)

Jijo-2: An Office Robot that Communicates and Learns. - Hideki Asoh; Nikos Vlassis; Yoichi Motomura; Futoshi Asano; Isao Hara; Satoru Hayamizu; Katsunobu Itou; Takio Kurita; Toshihiro Matsui; Roland Bunschoten; Ben J. A. Kröse (IEEE Intell. Syst., 2001)

A Modification of Kernel-based Fisher Discriminant Analysis for Face Detection. - Takio Kurita; Toshiharu Taguchi (FGR, 2002)

Robust De-noising by Kernel PCA. - Takashi Takahashi; Takio Kurita (ICANN, 2002)

A Neural Network Classifier for Occluded Images. - Takio Kurita; Takashi Takahashi; Yukifumi Ikeda (ICPR (3), 2002)

A Topographic Kernel-based Regression Method. - Kenji Nishida; Takashi Takahashi; Takio Kurita (JCIS, 2002)

A Multi-class Pattern Recognition Method by Combined Use of Multinomial Logit Model and K-Nearest Neighbor Rule. - Osamu Hasegawa; Takio Kurita (MVA, 2002)

Adaptive Background Estimation. - Mickael Pic; Luc Berthouze; Takio Kurita (MVA, 2002)

Improvement of Generalization Ability of Kernel-Based Fisher Discriminant Analysis for Recognition of Japanese Sign Language Hand Pastures, "Yubi-Moji", Using K-means Method. - Katsuya Yasumoto; Jun-ya Mizuno; Takio Kurita (MVA, 2002)

A Kernel Logit Approach for Face and Non-Face Classification. - Osamu Hasegawa; Takio Kurita (WACV, 2002)

Recognition and Detection of Occluded Faces by a Neural Network Classifier with Recursive Data Reconstruction. - Takio Kurita; Mickael Pic; Takashi Takahashi (AVSS, 2003)

Viewpoint independent face recognition by competition of the viewpoint dependent classifiers. - Takio Kurita; Takashi Takahashi (Neurocomputing, 2003)

Adaptive Background Estimation: Computing a Pixel-Wise Learning Rate from Local Confidence and Global Correlation Values. - Mickael Pic; Luc Berthouze; Takio Kurita (IEICE Trans. Inf. Syst., 2004)

Support Vector Machine and Generalization. - Takio Kurita (J. Adv. Comput. Intell. Intell. Informatics, 2004)

Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection. - Kenji Nishida; Takio Kurita (Multiple Classifier Systems, 2005)

Pedestrian Detection by Boosting Soft-Margin SVM with Local Feature Selection. - Kenji Nishida; Takio Kurita (MVA, 2005)

Scene change detection using Multi-class Support Vector Machine with MPEG encoding information. - Mickael Pic; Takio Kurita (MVA, 2005)

Adaptive Vector Quantization of Sequences of Local Blocks for Video Surveillance System. - Mickael Pic; Takio Kurita (MVA, 2005)

An Efficient Search Method Based on Dynamic Attention Map by Ising Model. - Kazuhiro Hotta; Masaru Tanaka; Takio Kurita; Taketoshi Mishima (IEICE Trans. Inf. Syst., 2005)

A Kernel-Based Fisher Discriminant Analysis for Face Detection. - Takio Kurita; Toshiharu Taguchi (IEICE Trans. Inf. Syst., 2005)

A robust classifier combined with an auto-associative network for completing partly occluded images. - Takashi Takahashi; Takio Kurita (Neural Networks, 2005)

Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition. - Takio Kurita; Tatsuya Hosoi; Akinori Hidaka (AVSS, 2006)

Reliability index of optical flow that considers error margin of matches and stabilizes camera movement estimation. - Eisuke Adachi; Takio Kurita; Nobuyuki Otsu (ICPR (1), 2006)

Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features. - Akinori Hidaka; Kenji Nishida; Takio Kurita (ICVS, 2006)

Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface. - Kenji Tanaka; Takio Kurita; Friedrich Meyer 001; Luc Berthouze; Tohru Kawabe (IJCNN, 2006)

Kernel Feature Selection to Improve Generalization Performance of Boosting Classifiers. - Kenji Nishida; Takio Kurita (IPCV, 2006)

Binarizing Training Samples with Multi-threshold for Viola-Jones Face Detector. - Hiroaki Inayoshi; Takio Kurita (ICONIP (2), 2007)

Selection of Histograms of Oriented Gradients Features for Pedestrian Detection. - Takuya Kobayashi; Akinori Hidaka; Takio Kurita (ICONIP (2), 2007)

Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factorization. - Kenji Watanabe; Takio Kurita (ICONIP (2), 2007)

Driver's head pose classification using a single video camera. - Hiroaki Inayoshi; Takio Kurita (IFAC HMS, 2007)

The recognition of a safe-overtaking driving environment. - Kenji Nishida; Eisuke Adachi; Takio Kurita (IFAC HMS, 2007)

Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression. - Kenji Tanaka; Takio Kurita; Tohru Kawabe (IJCNN, 2007)

Estimation of Lane State from Car-mounted Camera Using Multiple-model Particle Filter Based on Voting Result for One-dimensional Parameter Space. - Eisuke Adachi; Hiroaki Inayoshi; Takio Kurita (MVA, 2007)

Large-scale clustering of CAGE tag expression data. - Kazuro Shimokawa; Yuko Okamura-Oho; Takio Kurita; Martin C. Frith; Jun Kawai; Piero Carninci; Yoshihide Hayashizaki (BMC Bioinform., 2007)

Adaptive background estimation based on robust statistics. - Hiroyuki Shimai; Takio Kurita; Shinji Umeyama; Masaru Tanaka; Taketoshi Mishima (Syst. Comput. Jpn., 2007)

Navigation of mobile robot using location map of place cells and reinforcement learning. - Toshio Tanaka; Kenji Nishida; Takio Kurita (Syst. Comput. Jpn., 2007)

Object Detection by Selective Integration of HLAC Mask Features. - Akinori Hidaka; Takio Kurita; Nobuyuki Otsu (BLISS, 2008)

Motion Recognition by Higher Order Local Auto Correlation Features of Motion History Images. - Kenji Watanabe; Takio Kurita (BLISS, 2008)

Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization. - Akinori Hidaka; Takio Kurita (ICPR, 2008)

Locality preserving multi-nominal logistic regression. - Kenji Watanabe; Takio Kurita (ICPR, 2008)

RANSAC-SVM for large-scale datasets. - Kenji Watanabe; Takio Kurita (ICPR, 2008)

Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector. - Akinori Hidaka; Takio Kurita (IJCNN, 2008)

Boosting with cross-validation based feature selection for pedestrian detection. - Kenji Nishida; Takio Kurita (IJCNN, 2008)

Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization. - Kenji Watanabe; Akinori Hidaka; Takio Kurita (IJCNN, 2008)

Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features. - Akinori Hidaka; Kenji Nishida; Takio Kurita (IEICE Trans. Inf. Syst., 2008)

Adapting SVM Image Classifiers to Changes in Imaging Conditions Using Incremental SVM: An Application to Car Detection. - Epifanio Bagarinao; Takio Kurita; Masakatsu Higashikubo; Hiroaki Inayoshi (ACCV (3), 2009)

Image Classification Using Probability Higher-Order Local Auto-Correlations. - Tetsu Matsukawa; Takio Kurita (ACCV (3), 2009)

An Evolutionary Gene Selection Method for Microarray Data Based on SVM Error Bound Theories. - Rameswar Debnath; Takio Kurita (BIOCOMP, 2009)

Co-occurrence of Intensity and Gradient Features for Object Detection. - Akinori Hidaka; Takio Kurita (ICONIP (2), 2009)

Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions. - Tetsu Matsukawa; Akinori Hidaka; Takio Kurita (MVA, 2009)

Logistic discriminant analysis. - Takio Kurita; Kenji Watanabe; Nobuyuki Otsu (SMC, 2009)

Foreword. - Takio Kurita (IEICE Trans. Inf. Syst., 2009)

Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines. - Keiji Shimada; Tetsu Matsukawa; Yoshihiro Noguchi; Takio Kurita (ACCV Workshops (1), 2010)

Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes. - Tetsu Matsukawa; Takio Kurita (ICPR, 2010)

Visual Tracking Algorithm Using Pixel-Pair Feature. - Kenji Nishida; Takio Kurita; Yasuo Ogiuchi; Masakatsu Higashikubo (ICPR, 2010)

Scene Classification using Spatial Relationship between Local Posterior Probabilities. - Tetsu Matsukawa; Takio Kurita (VISAPP (2), 2010)

An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories. - Rameswar Debnath; Takio Kurita (Biosyst., 2010)

Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations. - Tetsu Matsukawa; Takio Kurita (IEICE Trans. Inf. Syst., 2010)

Discriminant kernels based support vector machine. - Akinori Hidaka; Takio Kurita (ACPR, 2011)

Discriminant appearance weighting for action recognition. - Tetsu Matsukawa; Takio Kurita (ACPR, 2011)

Multiple Random Subset-Kernel Learning. - Kenji Nishida; Jun Fujiki; Takio Kurita (CAIP (1), 2011)

Ensemble Random-subset SVM. - Kenji Nishida; Jun Fujiki; Takio Kurita (IJCCI (NCTA), 2011)

Discriminant Kernels derived from the optimum nonlinear discriminant analysis. - Takio Kurita (IJCNN, 2011)

Self-training with unlabeled regions for NBI image recognition. - Takahishi Takeda; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Takio Kurita; Shigeto Yoshida; Yoshito Takemura; Keiichi Onji; Rie Miyaki; Shinji Tanaka (ICPR, 2012)

Automatic assessment of mandibular bone using support vector machine for the diagnosis of osteoporosis. - Muthu Subash Kavitha; Takio Kurita; Akira Asano; Akira Taguchi (SMC, 2012)

Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression. - Akinori Hidaka; Takio Kurita (SSPR/SPR, 2012)

Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system. - Muthu Subash Kavitha; Akira Asano; Akira Taguchi; Takio Kurita; Mitsuhiro Sanada (BMC Medical Imaging, 2012)

Multi-Structural Texture Analysis Using Mathematical Morphology. - Lei Yang; Akira Asano; Liang Li; Chie Muraki Asano; Takio Kurita (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images. - Tetsu Matsukawa; Takio Kurita (Pattern Recognit., 2012)

Improvements to the Descriptor of SIFT by BOF Approaches. - Zhouxin Yang; Takio Kurita (ACPR, 2013)

Pixel-Pair Features Selection for Vehicle Tracking. - Zhibin Zhang; Xuezhen Li; Takio Kurita; Shinya Tanaka (ACPR, 2013)

Visual complexity assessment of painting images. - Xiaoying Guo; Takio Kurita; Chie Muraki Asano; Akira Asano (ICIP, 2013)

BOG: An extension of HOG by interpreting it as bag of features. - Zhouxin Yang; Takio Kurita (MVA, 2013)

Sparse Logistic Discriminant Analysis. - Takio Kurita; Kenji Watanabe; Akinori Hidaka (SMC, 2013)

Extraction of Dimension Reduced Features from Empirical Kernel Vector. - Takio Kurita; Yayoi Harashima (ICONIP (2), 2014)

Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model. - Akinori Hidaka; Takio Kurita (S+SSPR, 2014)

Improvements of Local Descriptor in HOG/SIFT by BOF Approach. - Zhouxin Yang; Takio Kurita (IEICE Trans. Inf. Syst., 2014)

Image Classification Using a Mixture of Subspace Models. - Takashi Takahashi; Takio Kurita (IPSJ Trans. Comput. Vis. Appl., 2014)

Principal Component Analysis (PCA). - Takio Kurita (Computer Vision, A Reference Guide, 2014)

Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. - Shoji Sonoyama; Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Yoko Kominami; Shinji Tanaka (EMBC, 2015)

Nonlinear discriminant analysis using K nearest neighbor estimation. - Xuezhen Li; Takio Kurita (FCV, 2015)

Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features. - Atsuki Masuda; Bisser Raytchev; Takio Kurita; Toru Imamura; Masashi Suzuki; Toru Tamaki; Kazufumi Kaneda (MLMI, 2015)

Multiresolution Local Autocorrelation of Optical Flows over Time for Action Recognition. - Novanto Yudistira; Takio Kurita (SMC, 2015)

Soft local binary patterns. - Ran Li; Xuezhen Li; Takio Kurita (SoCPaR, 2015)

Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval. - Takashi Takahashi; Takio Kurita (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Discriminative Subtree Selection for NBI Endoscopic Image Labeling. - Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Chaohui Wang; Laurent Najman; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka (ACCV Workshops (2), 2016)

Marker based simple non-overlapping camera calibration. - Fangda Zhao; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda (ICIP, 2016)

Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks. - Hidenori Ide; Takio Kurita (IJCNN, 2016)

Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution. - Bisser Raytchev; Atsuki Masuda; Masatoshi Minakawa; Kojiro Tanaka; Takio Kurita; Toru Imamura; Masashi Suzuki; Toru Tamaki; Kazufumi Kaneda (MICCAI (2), 2016)

Domain Adaptation with L2 constraints for classifying images from different endoscope systems. - Toru Tamaki; Shoji Sonoyama; Takio Kurita; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka; Kazuaki Chayama (CoRR, 2016)

Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine. - Akinori Hidaka; Takio Kurita (IEICE Trans. Inf. Syst., 2016)

Temporal Evolution of Motion Superpixel for Video Classification. - Novanto Yudistira; Takio Kurita (CYBCONF, 2017)

Deep CNN with Graph Laplacian Regularization for Multi-label Image Annotation. - Jonathan Mojoo; Keiichi Kurosawa; Takio Kurita (ICIAR, 2017)

Image Inpainting by Recursive Estimation Using Neural Network and Wavelet Transformation. - Hiromu Fujishige; Jun'ichi Miyao; Takio Kurita (ICONIP (6), 2017)

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network. - Jin Yamanaka; Shigesumi Kuwashima; Takio Kurita (ICONIP (2), 2017)

Improvement of learning for CNN with ReLU activation by sparse regularization. - Hidenori Ide; Takio Kurita (IJCNN, 2017)

Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. - Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Chaohui Wang; Laurent Najman (IEEE Access, 2017)

Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting. - Shohei Kumagai; Kazuhiro Hotta; Takio Kurita (CoRR, 2017)

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning. - Novanto Yudistira; Takio Kurita (EURASIP J. Image Video Process., 2017)

Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders. - Motaz Sabri; Takio Kurita (IEICE Trans. Inf. Syst., 2017)

Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer. - Hidenori Ide; Takio Kurita (ICONIP (1), 2018)

Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network. - Hideki Oki; Takio Kurita (ICONIP (2), 2018)

Texture Segmentation using Siamese Network and Hierarchical Region Merging. - Ryusuke Yamada; Hidenori Ide; Novanto Yudistira; Takio Kurita (ICPR, 2018)

3D Region Merging for Segmentation of Teeth on Cone-Beam Computed Tomography Images. - Rarasmaya Indraswari; Takio Kurita; Agus Zainal Arifin; Nanik Suciati; Eha Renwi Astuti; Dini Adni Navastara (SCIS&ISIS, 2018)

Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques. - Muthu Subash Kavitha; Takio Kurita; Byeong-Cheol Ahn (Comput. Biol. Medicine, 2018)

Correlation Net : spatio temporal multimodal deep learning. - Novanto Yudistira; Takio Kurita (CoRR, 2018)

Facial expression intensity estimation using Siamese and triplet networks. - Motaz Sabri; Takio Kurita (Neurocomputing, 2018)

Marker-based non-overlapping camera calibration methods with additional support camera views. - Fangda Zhao; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda (Image Vis. Comput., 2018)

Mixture of counting CNNs. - Shohei Kumagai; Kazuhiro Hotta; Takio Kurita (Mach. Vis. Appl., 2018)

Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease. - Muthu Subash Kavitha; Novanto Yudistira; Takio Kurita (IWCIA, 2019)

Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (ACPR (2), 2019)

Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. - Nasrulloh R. B. S. Loka; Muthu Subash Kavitha; Takio Kurita (ICANN (1), 2019)

U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. - Lukman Hakim; Novanto Yudistira; Muthu Subash Kavitha; Takio Kurita (ICONIP (5), 2019)

Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (ICONIP (2), 2019)

Siamese Network for Classification with Optimization of AUC. - Hideki Oki; Jun'ichi Miyao; Takio Kurita (ICONIP (2), 2019)

Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution. - Jonathan Mojoo; Motaz Sabri; Takio Kurita (IJCNN, 2019)

Multi-projection deep learning network for segmentation of 3D medical images. - Rarasmaya Indraswari; Takio Kurita; Agus Zainal Arifin; Nanik Suciati; Eha Renwi Astuti (Pattern Recognit. Lett., 2019)

Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows. - Novanto Yudistira; Takio Kurita (J. Signal Process. Syst., 2019)

Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. - Keijiro Kanda; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2020)

Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. - Shah B. Shrey; Lukman Hakim; Muthu Subash Kavitha; Hae Won Kim; Takio Kurita (IW-FCV, 2020)

Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences. - Xiaohan Wang; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2020)

q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. - Motoshi Abe; Jun'ichi Miyao; Takio Kurita (ICPR, 2020)

Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. - Kakeru Mitsuno; Takio Kurita (ICPR, 2020)

Channel Planting for Deep Neural Networks using Knowledge Distillation. - Kakeru Mitsuno; Yuichiro Nomura; Takio Kurita (ICPR, 2020)

Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. - Motoshi Abe; Jun'ichi Miyao; Takio Kurita (IJCNN, 2020)

Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. - Kakeru Mitsuno; Jun'ichi Miyao; Takio Kurita (IJCNN, 2020)

Triplet Loss for Knowledge Distillation. - Hideki Oki; Motoshi Abe; Jun'ichi Miyao; Takio Kurita (IJCNN, 2020)

Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients. - Michiaki Ueda; Yuichiro Nomura; Jun'ichi Miyao; Takio Kurita; Hiroshi Yamada (SMC, 2020)

On-line non-overlapping camera calibration net. - Fangda Zhao; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda (CoRR, 2020)

Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (IEICE Trans. Inf. Syst., 2020)

Robust pruning for efficient CNNs. - Hidenori Ide; Takumi Kobayashi 001; Kenji Watanabe; Takio Kurita (Pattern Recognit. Lett., 2020)

Correlation Net: Spatiotemporal multimodal deep learning for action recognition. - Novanto Yudistira; Takio Kurita (Signal Process. Image Commun., 2020)

q-Softplus Function: Extensions of Activation Function and Loss Function by Using q-Space. - Motoshi Abe; Takio Kurita (ACPR (2), 2021)

Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation. - Yuichiro Nomura; Takio Kurita (IW-FCV, 2021)

Age Estimation from the Age Period by Using Triplet Network. - Gaojian Zhang; Takio Kurita (IW-FCV, 2021)

Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. - Huipeng Zheng; Lukman Hakim; Takio Kurita; Jun'ichi Miyao (ICONIP (5), 2021)

Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network. - Motoshi Abe; Jun'ichi Miyao; Takio Kurita (IJCNN, 2021)

Invariant Feature Extraction for CNN Classifier by using Gradient Reversal Layer. - Michiaki Ueda; Keijiro Kanda; Jun'ichi Miyao; Shogo Miyamoto; Yukiko Nakano; Takio Kurita (SMC, 2021)

Mixture of experts with convolutional and variational autoencoders for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Appl. Intell., 2021)

Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval. - Jonathan Mojoo; Takio Kurita (IEICE Trans. Inf. Syst., 2021)

Autoencoder framework based on orthogonal projection constraints improves anomalies detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neurocomputing, 2021)

Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neural Comput. Appl., 2021)

Regularizer based on Euler characteristic for retinal blood vessel segmentation. - Lukman Hakim; Muthu Subash Kavitha; Novanto Yudistira; Takio Kurita (Pattern Recognit. Lett., 2021)

Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder. - Hidenori Ide; Hiromu Fujishige; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2022)

Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification. - Simin Liu; Yuta Konishi; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2022)

Supervised Learning for Convolutional Neural Network with Barlow Twins. - Ramyaa Murugan; Jonathan Mojoo; Takio Kurita (ICANN (4), 2022)

Additional Learning for Joint Probability Distribution Matching in BiGAN. - Jiazhou Zheng; Hiroaki Aizawa; Takio Kurita (ICONIP (1), 2022)

Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance Segmentation. - Shinji Uchinoura; Takio Kurita (ICPR, 2022)

Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation. - Lukman Hakim; Takio Kurita (CoRR, 2022)

Consistency Regularization on Clean Samples for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (IEICE Trans. Inf. Syst., 2022)

Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN. - Novanto Yudistira; Muthu Subash Kavitha; Takio Kurita (Int. J. Comput. Vis., 2022)

Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. - Qien Yu; Muthu Subash Kavitha; Takio Kurita (Neural Comput. Appl., 2022)

Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (IEICE Trans. Inf. Syst., 2022)

Image Inpainting for Large and Irregular Mask Based on Partial Convolution and Cross Semantic Attention. - Yin Wang; Hiroaki Aizawa; Takio Kurita (ACPR (2), 2023)

Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels. - Kohei Fukuda; Takio Kurita; Hiroaki Aizawa (IJCNN, 2023)

Facial Image Manipulation via Discriminative Decomposition of Semantic Space. - Jiazhou Zheng; Hiroaki Aizawa; Takio Kurita (IJCNN, 2023)

Attention-effective multiple instance learning on weakly stem cell colony segmentation. - Novanto Yudistira; Muthu Subash Kavitha; Jeny Rajan; Takio Kurita (Intell. Syst. Appl., 2023)

Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (Int. J. Artif. Intell. Tools, 2023)

An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background. - Shinji Uchinoura; Jun'ichi Miyao; Takio Kurita (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Clustering of Face Images in Video by Using Deep Learning. - Eito Tada; Takio Kurita (IW-FCV, 2024)

Tackling Background Misclassification in Box-Supervised Segmentation: A Background Constraint Approach. - Zhicheng Zhang; Takio Kurita (IW-FCV, 2024)

Incorporating Spatial Locality Into Self-attention for Training Vision Transformer on Small-Scale Datasets. - Yuki Igaue; Takio Kurita; Hiroaki Aizawa (ICPR (3), 2024)

Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors. - Kohei Fukuda; Takio Kurita; Hiroaki Aizawa (VISIGRAPP (2): VISAPP, 2024)

Improved Head and Data Augmentation to Reduce Artifacts at Grid Boundaries in Object Detection. - Shinji Uchinoura; Takio Kurita (IEICE Trans. Inf. Syst., 2024)

Nonlinear dimensionality reduction with q-Gaussian distribution. - Motoshi Abe; Yuichiro Nomura; Takio Kurita (Pattern Anal. Appl., 2024)

Direction-aware convolutional autoencoder based on positional encoding for one-dimensional anomaly detection. - Qien Yu; Qiong Chang; Tinghui Ouyang; Takio Kurita; Ran Dong (Inf. Sci., 2025)