| A system for video surveillance and monitoring RT Collins, AJ Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, ... VSAM final report 2000 (1-68), 1, 2000 | 1692 | 2000 |
| A system for video surveillance and monitoring: VSAM final report R Collins, A Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, D Tolliver, ... Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, 2000 | 517 | 2000 |
| An incremental network for on-line unsupervised classification and topology learning S Furao, O Hasegawa Neural networks 19 (1), 90-106, 2006 | 385 | 2006 |
| An enhanced self-organizing incremental neural network for online unsupervised learning S Furao, T Ogura, O Hasegawa Neural Networks 20 (8), 893-903, 2007 | 267 | 2007 |
| A fast nearest neighbor classifier based on self-organizing incremental neural network F Shen, O Hasegawa Neural networks 21 (10), 1537-1547, 2008 | 136 | 2008 |
| Online incremental attribute-based zero-shot learning P Kankuekul, A Kawewong, S Tangruamsub, O Hasegawa 2012 IEEE conference on computer vision and pattern recognition, 3657-3664, 2012 | 124 | 2012 |
| A fast no search fractal image coding method S Furao, O Hasegawa Signal Processing: Image Communication 19 (5), 393-404, 2004 | 119 | 2004 |
| Random field model for integration of local information and global information T Toyoda, O Hasegawa IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1483-1489, 2008 | 98 | 2008 |
| Online and incremental appearance-based SLAM in highly dynamic environments A Kawewong, N Tongprasit, S Tangruamsub, O Hasegawa The International Journal of Robotics Research 30 (1), 33-55, 2011 | 87 | 2011 |
| An adaptive incremental LBG for vector quantization F Shen, O Hasegawa Neural Networks 19 (5), 694-704, 2006 | 77 | 2006 |
| Active agent oriented multimodal interface system O Hasegawa, K Itou, T Kurita, S Hayamizu, K Tanaka, K Yamamoto, ... IJCAI 95 (1), 82-87, 1995 | 77 | 1995 |
| A detection technique for degraded face images S Hayashi, O Hasegawa 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 73 | 2006 |
| Associative memory for online learning in noisy environments using self-organizing incremental neural network A Sudo, A Sato, O Hasegawa IEEE transactions on neural networks 20 (6), 964-972, 2009 | 62 | 2009 |
| Type classification, color estimation, and specific target detection of moving targets on public streets O Hasegawa, T Kanade Machine Vision and Applications 16 (2), 116-121, 2005 | 60 | 2005 |
| An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network F Shen, H Yu, K Sakurai, O Hasegawa Neural Computing and Applications 20 (7), 1061-1074, 2011 | 57 | 2011 |
| A general associative memory based on self-organizing incremental neural network F Shen, Q Ouyang, W Kasai, O Hasegawa Neurocomputing 104, 57-71, 2013 | 44 | 2013 |
| Texture classification using extended higher order local autocorrelation T Toyoda, O Hasegawa International Workshop on Texture Analysis and Synthesis, 131-136, 2005 | 42 | 2005 |
| Map generation apparatus, map generation method, moving method for moving body, and robot apparatus O Hasegawa, H Morioka, N Tongprasit, S Yi US Patent 9,224,043, 2015 | 39 | 2015 |
| A load-balancing self-organizing incremental neural network H Zhang, X Xiao, O Hasegawa IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1096-1105, 2013 | 39 | 2013 |
| Nonparametric density estimation based on self-organizing incremental neural network for large noisy data Y Nakamura, O Hasegawa IEEE transactions on neural networks and learning systems 28 (1), 8-17, 2016 | 38 | 2016 |
Furao ShenDepartment of Computer Science & Technology, Nanjing UniversityVerified email at nju.edu.cn
