Keisuke Kameyama

Publication Activity (10 Years)

Years Active: 1994-2022
Publications (10 Years): 13

Top Topics

Color Invariant

Top Venues

Pattern Recognit. Lett.

Publications

Takumi Morikawa, Keisuke Kameyama
Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training. PerCom Workshops (2022)
U. A. Md. Ehsan Ali, Keisuke Kameyama
Informative Band Subset Selection for Hyperspectral Image Classification using Joint and Conditional Mutual Information. SSCI (2022)
Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. 53 (3) (2021)
Keita Ogawa, Keisuke Kameyama
Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image. ICONIP (4) (2021)
Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino
Active Learning with Interpretable Predictor. IJCNN (2019)
Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little, Noel E. O'Connor
A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. 77 (21) (2018)
Keisuke Horiuchi, Keisuke Kameyama
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning. ISSPIT (2018)
Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama
Cube-Based Encryption-then-Compression System for Video Sequences. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2018)
Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama
Lapped Cuboid-based Perceptual Encryption for Motion JPEG Standard. APSIPA (2018)
Shota Utsumi, Keisuke Kameyama
Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes. ICONIP (3) (2018)
Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor
Educational video classification by using a transcript to image transform and supervised learning. IPTA (2017)
Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor
Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM (2017)
Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
A comparative study using contours and skeletons as shape representations for binary image matching. Pattern Recognit. Lett. 76 (2016)
Houssem Chatbri, Keisuke Kameyama, Paul Kwan
Towards a segmentation and recognition-free approach for content-based document image retrieval of handwritten queries. ACPR (2015)
Keisuke Kameyama, Trung Nguyen Bao Phan, Miharu Aizawa
Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels. ICONIP (4) (2015)
Houssem Chatbri, Kenny Davila, Keisuke Kameyama, Richard Zanibbi
Shape matching using keypoints extracted from both the foreground and the background of binary images. IPTA (2015)
Houssem Chatbri, Keisuke Kameyama
Document image dataset indexing and compression using connected components clustering. MVA (2015)
Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama
An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images. ICPR (2014)
Houssem Chatbri, Keisuke Kameyama
Using scale space filtering to make thinning algorithms robust against noise in sketch images. Pattern Recognit. Lett. 42 (2014)
Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama
A modular approach for query spotting in document images and its optimization using genetic algorithms. IEEE Congress on Evolutionary Computation (2014)
Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description. DICTA (2013)
Keisuke Kameyama, Trung Nguyen Bao Phan
Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation. ICONIP (3) (2013)
Wataru Matsumoto, Keisuke Kameyama
Joint use of luminance and color invariants in partial image retrieval. ISPACS (2013)
Keisuke Kameyama, Wataru Matsumoto
Composite Color Invariant Feature H′ Applied to Image Matching. ICONIP (3) (2013)
Masaki Kobayashi, Keisuke Kameyama
A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. IEICE Trans. Inf. Syst. (10) (2012)
Houssem Chatbri, Keisuke Kameyama
Towards making thinning algorithms robust against noise in sketch images. ICPR (2012)
Paul Wing Hing Kwan, Keisuke Kameyama, Junbin Gao, Kazuo Toraichi
Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. Int. J. Pattern Recognit. Artif. Intell. 25 (5) (2011)
Toru Nozaki, Keisuke Kameyama
Feature selection for user-adaptive content-based music retrieval using Particle Swarm Optimization. ISDA (2010)
Shunsuke Sakai, Toru Nozaki, Keisuke Kameyama
Speaker Verification Using Weighted Local MFCC Features Extracted by Minimum Verification Error Learning. Aust. J. Intell. Inf. Process. Syst. 12 (3) (2010)
Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. 24 (1) (2010)
Nozomi Oka, Keisuke Kameyama
Relevance tuning in content-based retrieval of structurally-modeled images using Particle Swarm Optimization. CIMSIVP (2009)
Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi, Yasuhiro Ohmiya
A Function Approximation Method for Images with Grading Regions. Int. J. Image Graph. 9 (1) (2009)
Keisuke Kameyama
Particle Swarm Optimization - A Survey. IEICE Trans. Inf. Syst. (7) (2009)
Masaki Kobayashi, Keisuke Kameyama
User-adaptive image clustering using relevance feedback for efficient content-based retrieval. SMC (2008)
Shunsuke Sakai, Keisuke Kameyama
Content-based music retrieval with nonlinear feature space transformation using relevance feedback. SMC (2008)
Yasutomo Kimura, Kenji Ishida, Hirotaka Imaoka, Fumito Masui, Keisuke Kameyama, Rafal Rzepka, Kenji Araki
How We Did How, What and Why - HOMIO's Participation in QAC4 of NTCIR-6. NTCIR (2007)
Keisuke Kameyama
Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification. ICONIP (1) (2007)
Mayuko Okayama, Nozomi Oka, Keisuke Kameyama
Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization. ICONIP (2) (2007)
Atsushi Fujii, Keisuke Kameyama, Tetsuo Kamina, Yasuhiro Ohmiya, Kazuo Toraichi
Image Resolution Conversion by Optimized Adaptation of Interpolation Kernels. SPPRA (2006)
Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi
An Image Segmentation Method for Function Approximation of Gradation Images. SPPRA (2006)
Masakazu Higuchi, Shuji Kawasaki, Keisuke Kameyama, Yasuo Morooka, Kazuo Toraichi
Quality Improvement of MP3 Encoded Audio Reproduction using Fluency Locally Supported Sampling Function for Use in Cell Phones. MDM (2006)
Keisuke Kameyama, Soo-Nyoun Kim, Michiteru Suzuki, Kazuo Toraichi, Takashi Yamamoto
Content-Based Image Retrieval of Kaou Images by Relaxation Matching of Region Features. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14 (4) (2006)
Keisuke Kameyama, Nozomi Oka, Kazuo Toraichi
Optimal Parameter Selection in Image Similarity Evaluation Algorithms Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (2006)
Hironori Aokage, Keisuke Kameyama, Koichi Wada
Image Interpolation using Feedforward Neural Network. Artificial Intelligence and Applications (2005)
Paul Wing Hing Kwan, Keisuke Kameyama, Kazuo Toraichi
On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval. Image Vis. Comput. 21 (3) (2003)
Paul Wing Hing Kwan, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama
Approximate Query Processing for a Content-Based Image Retrieval Method. DEXA (2003)
Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kameyama, Fumio Kawazoe, Koji Nakamura
TAST-Trademark Application Assistant. ICIP (1) (2002)
Tomoyuki Takahashi, Kazuo Toraichi, Keisuke Kameyama, Koji Nakamura
A Smooth Interpolation Method for Nonuniform Samples Based on Sampling Functions Composed of Piecewise Polynomials. IEEE Pacific Rim Conference on Multimedia (2002)
Keisuke Kameyama, Kazuo Toraichi, Yukio Kosugi
Constructive Relaxation Matching Involving Dynamical Model Switching and Its Application to Shape Matching. Int. J. Image Graph. 2 (4) (2002)
Paul Wing Hing Kwan, Keisuke Kameyama, Kazuo Toraichi
Connecting Image Similarity Retrieval with Consistent Labeling Problem by Introducing a Match-all Label. FUZZ-IEEE (2001)
Keisuke Kameyama, Yukio Kosugi
Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching. IJCNN (1999)
Keisuke Kameyama, Kenzo Mori, Yukio Kosugi
A neural network incorporating adaptive Gabor filters for image texture classification. ICNN (1997)
Yukio Kosugi, Yusuke Suganami, Naoko Uemoto, Keisuke Kameyama, Mikiya Sase, Toshimitsu Momose, Junichi Nishikawa
CCE-based index selection for neuro assisted MR-image segmentation. ICIP (2) (1996)
Keisuke Kameyama, Toshikazu Inoue, Igor Yu. Demin, Koichi Kobayashi, Takuso Sato
Acoustical tissue nonlinearity characterization using bispectral analysis. Signal Process. 53 (2-3) (1996)
Iren Valova, Keisuke Kameyama, Yukio Kosugi
Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. (9) (1995)
Masashi Sakamoto, Keisuke Kameyama, Katsuyuki Kuwano, Takuso Sato
Movement Tracer System Using Non-Parallel Multiple Line Detectors and High Order Correlation Analysis. MVA (1994)