Advances in Neural Networks - ISNN 2006: Third International by Si Wu, Jianfeng Feng, Shun-ichi Amari (auth.), Jun Wang,

By Si Wu, Jianfeng Feng, Shun-ichi Amari (auth.), Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (eds.)

This ebook and its sister volumes represent the complaints of the 3rd foreign Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China in the course of may perhaps 28–31, 2006. After a winning ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN grew to become a well-established sequence of meetings on neural computation within the quarter with becoming recognition and bettering caliber. ISNN 2006 bought 2472 submissions from authors in forty three international locations and areas (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, united kingdom, eire, Canada, united states, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) throughout six continents (Asia, Europe, North the USA, South the USA, Africa, and Oceania). according to rigorous reports, 616 top of the range papers have been chosen for e-book within the court cases with the reputation price being below 25%. The papers are equipped in 27 cohesive sections protecting all significant issues of neural community examine and improvement. as well as the varied contributed papers, ten exceptional students gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).

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486 Table of Contents – Part II XXXVII Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm Zhiwu Lu . . . . . . . . . . . . . . . . . . . . . . . . . . . 492 An Improvement on Competitive Neural Networks Applied to Image Segmentation Rui Yan, Meng Joo Er, Huajin Tang . . . . . . . . . . . . . . . 498 Image Segmentation by Deterministic Annealing Algorithm with Adaptive Spatial Constraints Xulei Yang, Aize Cao, Qing Song .

429 A Cartoon Video Detection Method Based on Active Relevance Feedback and SVM Xinbo Gao, Jie Li, Na Zhang . . . . . . . . . . . . . . . . . . 436 Morphological Neural Networks of Background Clutter Adaptive Prediction for Detection of Small Targets in Image Data Honggang Wu, Xiaofeng Li, Zaiming Li, Yuebin Chen . . . . . . . 442 Two Important Action Scenes Detection Based on Probability Neural Networks Yu-Liang Geng, De Xu, Jia-Zheng Yuan, Song-He Feng .

114 Nonlinear Channel Equalization Using Concurrent Support Vector Machine Processor Jae Woo Wee, Tae Seon Kim, Sung Soo Dong, Chong Ho Lee . . . . 120 Recursive Complex Extreme Learning Machine with Widely Linear Processing for Nonlinear Channel Equalizer Junseok Lim, Jaejin Jeon, Sangwook Lee . . . . . . . . . . . . . 128 A Study on the Detection Algorithm of QPSK Signal Using TDNN Sun-Kuk Noh, Jae-Young Pyun . . . . . . .

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