| Particle swarm optimization-a survey K Kameyama IEICE transactions on information and systems 92 (7), 1354-1361, 2009 | 173 | 2009 |
| Cellulose thin layer and column chromatography for resolution of DL-tryptophan S Yuasa, A Shimada, K Kameyama, M Yasui, K Adzuma Journal of Chromatographic Science 18 (7), 311-314, 1980 | 56 | 1980 |
| Using scale space filtering to make thinning algorithms robust against noise in sketch images H Chatbri, K Kameyama Pattern Recognition Letters 42, 1-10, 2014 | 45 | 2014 |
| Image resolution conversion based on an edge-adaptive interpolation kernel T Mori, K Kameyama, Y Ohmiya, J Lee, K Toraichi 2007 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2007 | 36 | 2007 |
| Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching K Kameyama, Y Kosugi IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 30 | 1999 |
| A comparative study using contours and skeletons as shape representations for binary image matching H Chatbri, K Kameyama, P Kwan Pattern Recognition Letters 76, 59-66, 2016 | 23 | 2016 |
| Estimation of the stress distribution in metal using nonlinear acoustoelasticity M Kato, T Sato, K Kameyama, H Ninoyu The Journal of the Acoustical Society of America 98 (3), 1496-1504, 1995 | 23 | 1995 |
| Towards making thinning algorithms robust against noise in sketch images H Chatbri, K Kameyama Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 20 | 2012 |
| On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval PWH Kwan, K Kameyama, K Toraichi Image and Vision Computing 21 (3), 285-294, 2003 | 20 | 2003 |
| Automatic defect classification in visual inspection of semiconductors using neural networks K Kameyama, Y Kosugi, T Okahashi, M Izumita IEICE TRANSACTIONS on Information and Systems 81 (11), 1261-1271, 1998 | 20 | 1998 |
| Optimal parameter selection in image similarity evaluation algorithms using particle swarm optimization K Kameyama, N Oka, K Toraichi 2006 IEEE International Conference on Evolutionary Computation, 1079-1086, 2006 | 18 | 2006 |
| Feature extraction of hyperspectral data for under spilled blood visualization using particle swarm optimization ST Monteiro, K Uto, Y Kosugi, N Kobayashi, E Watanabe, K Kameyama International Journal of Bioelectromagnetism 7 (1), 232-235, 2005 | 16 | 2005 |
| Relevance optimization in image database using feature space preference mapping and particle swarm optimization M Okayama, N Oka, K Kameyama Neural Information Processing: 14th International Conference, ICONIP 2007 …, 2008 | 15 | 2008 |
| Trademark retrieval by relaxation matching on fluency function approximated image contours PWH Kwan, K Kameyama, K Toraichi 2001 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2001 | 15 | 2001 |
| Acoustical tissue nonlinearity characterization using bispectral analysis K Kameyama, T Inoue, IY Demin, K Kobayashi, T Sato Signal processing 53 (2-3), 117-131, 1996 | 15 | 1996 |
| Image decomposition by answer-in-weights neural network I Valova, K Kameyama, Y Kosugi IEICE TRANSACTIONS on Information and Systems 78 (9), 1221-1224, 1995 | 15 | 1995 |
| Neural network pruning by fusing hidden layer units K KAMEYAMA, Y KOSUGI IEICE TRANSACTIONS on Information and Systems 74 (12), 4198-4204, 1991 | 15 | 1991 |
| An application-independent and segmentation-free approach for spotting queries in document images H Chatbri, P Kwan, K Kameyama 2014 22nd International Conference on Pattern Recognition, 2891-2896, 2014 | 14 | 2014 |
| Sketch-based image retrieval by shape points description in support regions H Chatbri, K Kameyama 2013 20th International Conference on Systems, Signals and Image Processing …, 2013 | 14 | 2013 |
| A neural network incorporating adaptive Gabor filters for image texture classification K Kameyama, K Mori, Y Kosugi Proceedings of International Conference on Neural Networks (ICNN'97) 3, 1523 …, 1997 | 14 | 1997 |
