Keisuke Kameyama

64 papers B 13C 2Misc 5Journal 17Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physics-Informed Antisymmetric Recurrent Neural Networks with Initializer Network for Solving Nonlinear Time-Dependent Partial Differential Equations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Pavodi Maniamfu, U. A. Md. Ehsan Ali, Keisuke Kameyama
2025	Misc	`conf`	Mixup and Local-FOMA Based Two-Phase Manifold Augmentation in Image Classification. AusDM Takumi Shirahama, Keisuke Kameyama
2025	Misc	`conf`	Regularizing StyleGAN with Inter-resolution Residual Pattern Consistency via a Laplacian Pyramid. AusDM Takahiro Koide, Keisuke Kameyama
2024	B	`conf`	Affinity-Weighted RandAugment for Problem-Oriented Augmentation. IJCNN Yuna Park, Tomoumi Takase, Keisuke Kameyama, Masaki Onishi
2024	—	`conf`	Inheritance of Attention Region in Model Compression by Distillation in Image Classification. AICCC Takumi Shirahama, Keisuke Kameyama
2024	—	`conf`	Physics-Informed Antisymmetric Recurrent Neural Networks for Solving Nonlinear Partial Differential Equations. ICONIP (1) Pavodi Maniamfu, U. A. Md. Ehsan Ali, Kô Sakai, Keisuke Kameyama
2022	—	`conf`	Informative Band Subset Selection for Hyperspectral Image Classification using Joint and Conditional Mutual Information. SSCI U. A. Md. Ehsan Ali, Keisuke Kameyama
2022	—	`conf`	Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training. PerCom Workshops Takumi Morikawa, Keisuke Kameyama
2021	—	`conf`	Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image. ICONIP (4) Keita Ogawa, Keisuke Kameyama
2021	J	`jnl`	Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama
2019	B	`conf`	Active Learning with Interpretable Predictor. IJCNN Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino
2018	J	`jnl`	A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little, Noel E. O'Connor
2018	J	`jnl`	Cube-Based Encryption-then-Compression System for Video Sequences. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama
2018	—	`conf`	Lapped Cuboid-based Perceptual Encryption for Motion JPEG Standard. APSIPA Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama
2018	—	`conf`	Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes. ICONIP (3) Shota Utsumi, Keisuke Kameyama
2018	—	`conf`	Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning. ISSPIT Keisuke Horiuchi, Keisuke Kameyama
2017	—	`conf`	Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor
2017	—	`conf`	Educational video classification by using a transcript to image transform and supervised learning. IPTA Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor
2016	J	`jnl`	A comparative study using contours and skeletons as shape representations for binary image matching. Pattern Recognit. Lett. Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
2015	Misc	`conf`	Document image dataset indexing and compression using connected components clustering. MVA Houssem Chatbri, Keisuke Kameyama
2015	—	`conf`	Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels. ICONIP (4) Keisuke Kameyama, Trung Nguyen Bao Phan, Miharu Aizawa
2015	—	`conf`	Shape matching using keypoints extracted from both the foreground and the background of binary images. IPTA Houssem Chatbri, Kenny Davila, Keisuke Kameyama, Richard Zanibbi
2015	—	`conf`	Towards a segmentation and recognition-free approach for content-based document image retrieval of handwritten queries. ACPR Houssem Chatbri, Keisuke Kameyama, Paul Kwan
2014	B	`conf`	A modular approach for query spotting in document images and its optimization using genetic algorithms. IEEE Congress on Evolutionary Computation Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama
2014	B	`conf`	An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images. ICPR Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama
2014	J	`jnl`	Using scale space filtering to make thinning algorithms robust against noise in sketch images. Pattern Recognit. Lett. Houssem Chatbri, Keisuke Kameyama
2013	—	`conf`	Composite Color Invariant Feature H′ Applied to Image Matching. ICONIP (3) Keisuke Kameyama, Wataru Matsumoto
2013	—	`conf`	Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation. ICONIP (3) Keisuke Kameyama, Trung Nguyen Bao Phan
2013	—	`conf`	Joint use of luminance and color invariants in partial image retrieval. ISPACS Wataru Matsumoto, Keisuke Kameyama
2013	Misc	`conf`	Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description. DICTA Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
2012	J	`jnl`	A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. IEICE Trans. Inf. Syst. Masaki Kobayashi, Keisuke Kameyama
2012	B	`conf`	Towards making thinning algorithms robust against noise in sketch images. ICPR Houssem Chatbri, Keisuke Kameyama
2011	J	`jnl`	Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. Int. J. Pattern Recognit. Artif. Intell. Paul Wing Hing Kwan, Keisuke Kameyama, Junbin Gao, Kazuo Toraichi
2010	J	`jnl`	A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama
2010	C	`conf`	Feature selection for user-adaptive content-based music retrieval using Particle Swarm Optimization. ISDA Toru Nozaki, Keisuke Kameyama
2010	J	`jnl`	Speaker Verification Using Weighted Local MFCC Features Extracted by Minimum Verification Error Learning. Aust. J. Intell. Inf. Process. Syst. Shunsuke Sakai, Toru Nozaki, Keisuke Kameyama
2009	J	`jnl`	A Function Approximation Method for Images with Grading Regions. Int. J. Image Graph. Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi, Yasuhiro Ohmiya
2009	J	`jnl`	Particle Swarm Optimization - A Survey. IEICE Trans. Inf. Syst. Keisuke Kameyama
2009	—	`conf`	Relevance tuning in content-based retrieval of structurally-modeled images using Particle Swarm Optimization. CIMSIVP Nozomi Oka, Keisuke Kameyama
2008	B	`conf`	Content-based music retrieval with nonlinear feature space transformation using relevance feedback. SMC Shunsuke Sakai, Keisuke Kameyama
2008	B	`conf`	User-adaptive image clustering using relevance feedback for efficient content-based retrieval. SMC Masaki Kobayashi, Keisuke Kameyama
2007	—	`conf`	Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification. ICONIP (1) Keisuke Kameyama
2007	—	`conf`	How We Did How, What and Why - HOMIO's Participation in QAC4 of NTCIR-6. NTCIR Yasutomo Kimura, Kenji Ishida, Hirotaka Imaoka, Fumito Masui, Keisuke Kameyama, Rafal Rzepka, Kenji Araki
2007	—	`conf`	Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization. ICONIP (2) Mayuko Okayama, Nozomi Oka, Keisuke Kameyama
2006	—	`conf`	An Image Segmentation Method for Function Approximation of Gradation Images. SPPRA Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi
2006	J	`jnl`	Content-Based Image Retrieval of Kaou Images by Relaxation Matching of Region Features. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Keisuke Kameyama, Soo-Nyoun Kim, Michiteru Suzuki, Kazuo Toraichi, Takashi Yamamoto
2006	—	`conf`	Image Resolution Conversion by Optimized Adaptation of Interpolation Kernels. SPPRA Atsushi Fujii, Keisuke Kameyama, Tetsuo Kamina, Yasuhiro Ohmiya, Kazuo Toraichi
2006	B	`conf`	Optimal Parameter Selection in Image Similarity Evaluation Algorithms Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation Keisuke Kameyama, Nozomi Oka, Kazuo Toraichi
2006	B	`conf`	Quality Improvement of MP3 Encoded Audio Reproduction using Fluency Locally Supported Sampling Function for Use in Cell Phones. MDM Masakazu Higuchi, Shuji Kawasaki, Keisuke Kameyama, Yasuo Morooka, Kazuo Toraichi
2005	—	`conf`	Image Interpolation using Feedforward Neural Network. Artificial Intelligence and Applications Hironori Aokage, Keisuke Kameyama, Koichi Wada
2004	B	`conf`	Texture classification by support vector machines with kernels for higher-order Gabor filtering. IJCNN Keisuke Kameyama, Kei Taga
2003	C	`conf`	Approximate Query Processing for a Content-Based Image Retrieval Method. DEXA Paul Wing Hing Kwan, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama
2003	B	`conf`	Layered neural network training with model switching and hidden layer feature regularization. IJCNN Keisuke Kameyama, Kei Taga
2003	J	`jnl`	On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval. Image Vis. Comput. Paul Wing Hing Kwan, Keisuke Kameyama, Kazuo Toraichi
2002	—	`conf`	A Smooth Interpolation Method for Nonuniform Samples Based on Sampling Functions Composed of Piecewise Polynomials. IEEE Pacific Rim Conference on Multimedia Tomoyuki Takahashi, Kazuo Toraichi, Keisuke Kameyama, Koji Nakamura
2002	J	`jnl`	Constructive Relaxation Matching Involving Dynamical Model Switching and Its Application to Shape Matching. Int. J. Image Graph. Keisuke Kameyama, Kazuo Toraichi, Yukio Kosugi
2002	—	`conf`	TAST-Trademark Application Assistant. ICIP (1) Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kameyama, Fumio Kawazoe, Koji Nakamura
2001	B	`conf`	Connecting Image Similarity Retrieval with Consistent Labeling Problem by Introducing a Match-all Label. FUZZ-IEEE Paul Wing Hing Kwan, Keisuke Kameyama, Kazuo Toraichi
1999	B	`conf`	Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching. IJCNN Keisuke Kameyama, Yukio Kosugi
1997	—	`conf`	A neural network incorporating adaptive Gabor filters for image texture classification. ICNN Keisuke Kameyama, Kenzo Mori, Yukio Kosugi
1996	J	`jnl`	Acoustical tissue nonlinearity characterization using bispectral analysis. Signal Process. Keisuke Kameyama, Toshikazu Inoue, Igor Yu. Demin, Koichi Kobayashi, Takuso Sato
1996	—	`conf`	CCE-based index selection for neuro assisted MR-image segmentation. ICIP (2) Yukio Kosugi, Yusuke Suganami, Naoko Uemoto, Keisuke Kameyama, Mikiya Sase, Toshimitsu Momose, Junichi Nishikawa
1995	J	`jnl`	Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. Iren Valova, Keisuke Kameyama, Yukio Kosugi
1994	Misc	`conf`	Movement Tracer System Using Non-Parallel Multiple Line Detectors and High Order Correlation Analysis. MVA Masashi Sakamoto, Keisuke Kameyama, Katsuyuki Kuwano, Takuso Sato