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2020 – today
- 2024
[c41]Yuna Park, Tomoumi Takase, Keisuke Kameyama, Masaki Onishi:
Affinity-Weighted RandAugment for Problem-Oriented Augmentation. IJCNN 2024: 1-8- 2022
- [c40]Takumi Morikawa, Keisuke Kameyama:
Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training. PerCom Workshops 2022: 484-490 - [c39]U. A. Md. Ehsan Ali
, Keisuke Kameyama:
Informative Band Subset Selection for Hyperspectral Image Classification using Joint and Conditional Mutual Information. SSCI 2022: 573-580 - 2021
- [j16]Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama:
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. 53(3): 1945-1962 (2021) - [c38]Keita Ogawa, Keisuke Kameyama:
Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image. ICONIP (4) 2021: 656-667
2010 – 2019
- 2019
- [c37]Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino:
Active Learning with Interpretable Predictor. IJCNN 2019: 1-8 - 2018
- [j15]Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama:
Cube-Based Encryption-then-Compression System for Video Sequences. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1815-1822 (2018) - [j14]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): 28925-28948 (2018) - [c36]Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama:
Lapped Cuboid-based Perceptual Encryption for Motion JPEG Standard. APSIPA 2018: 2022-2026 - [c35]Shota Utsumi, Keisuke Kameyama:
Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes. ICONIP (3) 2018: 673-683 - [c34]Keisuke Horiuchi, Keisuke Kameyama:
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning. ISSPIT 2018: 308-313 - 2017
- [c33]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: 1-6 - [c32]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: 21-26 - 2016
- [j13]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: 59-66 (2016) - 2015
- [c31]Houssem Chatbri, Keisuke Kameyama, Paul Kwan:
Towards a segmentation and recognition-free approach for content-based document image retrieval of handwritten queries. ACPR 2015: 146-150 - [c30]Keisuke Kameyama, Trung Nguyen Bao Phan, Miharu Aizawa:
Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels. ICONIP (4) 2015: 419-427 - [c29]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: 205-210 - [c28]Houssem Chatbri, Keisuke Kameyama:
Document image dataset indexing and compression using connected components clustering. MVA 2015: 267-270 - 2014
- [j12]Houssem Chatbri, Keisuke Kameyama:
Using scale space filtering to make thinning algorithms robust against noise in sketch images. Pattern Recognit. Lett. 42: 1-10 (2014) - [c27]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: 2085-2092 - [c26]Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama:
An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images. ICPR 2014: 2891-2896 - 2013
- [c25]Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan:
Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description. DICTA 2013: 1-8 - [c24]Keisuke Kameyama, Wataru Matsumoto:
Composite Color Invariant Feature H′ Applied to Image Matching. ICONIP (3) 2013: 401-408 - [c23]Keisuke Kameyama, Trung Nguyen Bao Phan:
Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation. ICONIP (3) 2013: 442-449 - [c22]Wataru Matsumoto, Keisuke Kameyama:
Joint use of luminance and color invariants in partial image retrieval. ISPACS 2013: 602-607 - 2012
- [j11]Masaki Kobayashi, Keisuke Kameyama:
A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. IEICE Trans. Inf. Syst. 95-D(10): 2522-2532 (2012) - [c21]Houssem Chatbri, Keisuke Kameyama:
Towards making thinning algorithms robust against noise in sketch images. ICPR 2012: 3030-3033 - 2011
- [j10]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): 643-673 (2011) - 2010
- [j9]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) - [j8]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): 15-38 (2010) - [c20]Toru Nozaki, Keisuke Kameyama:
Feature selection for user-adaptive content-based music retrieval using Particle Swarm Optimization. ISDA 2010: 941-946
2000 – 2009
- 2009
- [j7]Keisuke Kameyama:
Particle Swarm Optimization - A Survey. IEICE Trans. Inf. Syst. 92-D(7): 1354-1361 (2009) - [j6]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): 101-119 (2009) - [c19]Nozomi Oka, Keisuke Kameyama:
Relevance tuning in content-based retrieval of structurally-modeled images using Particle Swarm Optimization. CIMSIVP 2009: 75-82 - 2008
- [c18]Shunsuke Sakai, Keisuke Kameyama:
Content-based music retrieval with nonlinear feature space transformation using relevance feedback. SMC 2008: 1379-1384 - [c17]Masaki Kobayashi, Keisuke Kameyama:
User-adaptive image clustering using relevance feedback for efficient content-based retrieval. SMC 2008: 2683-2688 - 2007
- [c16]Mayuko Okayama, Nozomi Oka, Keisuke Kameyama:
Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization. ICONIP (2) 2007: 608-617 - [c15]Keisuke Kameyama:
Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification. ICONIP (1) 2007: 851-860 - [c14]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 - 2006
- [j5]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): 509-523 (2006) - [c13]Keisuke Kameyama, Nozomi Oka, Kazuo Toraichi:
Optimal Parameter Selection in Image Similarity Evaluation Algorithms Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 1079-1086 - [c12]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: 142 - [c11]Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi:
An Image Segmentation Method for Function Approximation of Gradation Images. SPPRA 2006: 238-243 - [c10]Atsushi Fujii, Keisuke Kameyama, Tetsuo Kamina, Yasuhiro Ohmiya, Kazuo Toraichi:
Image Resolution Conversion by Optimized Adaptation of Interpolation Kernels. SPPRA 2006: 274-279 - 2005
- [c9]Hironori Aokage, Keisuke Kameyama, Koichi Wada:
Image Interpolation using Feedforward Neural Network. Artificial Intelligence and Applications 2005: 861-866 - 2003
- [j4]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): 285-294 (2003) - [c8]Paul Wing Hing Kwan, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama:
Approximate Query Processing for a Content-Based Image Retrieval Method. DEXA 2003: 517-526 - 2002
- [j3]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): 655-668 (2002) - [c7]Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kameyama, Fumio Kawazoe, Koji Nakamura:
TAST-Trademark Application Assistant. ICIP (1) 2002: 884-887 - [c6]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: 417-424 - 2001
- [c5]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: 1384-1387
1990 – 1999
- 1999
- [c4]Keisuke Kameyama, Yukio Kosugi:
Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching. IJCNN 1999: 3505-3510 - 1997
- [c3]Keisuke Kameyama, Kenzo Mori, Yukio Kosugi:
A neural network incorporating adaptive Gabor filters for image texture classification. ICNN 1997: 1523-1528 - 1996
- [j2]Keisuke Kameyama, Toshikazu Inoue, Igor Yu. Demin, Koichi Kobayashi, Takuso Sato:
Acoustical tissue nonlinearity characterization using bispectral analysis. Signal Process. 53(2-3): 117-131 (1996) - [c2]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: 249-252 - 1995
- [j1]Iren Valova, Keisuke Kameyama, Yukio Kosugi:
Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. 78-D(9): 1221-1224 (1995) - 1994
- [c1]Masashi Sakamoto, Keisuke Kameyama, Katsuyuki Kuwano, Takuso Sato:
Movement Tracer System Using Non-Parallel Multiple Line Detectors and High Order Correlation Analysis. MVA 1994: 178-181
Coauthor Index
aka: Paul Kwan
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last updated on 2024-09-21 01:47 CEST by the dblp team
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