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CEC
2009
IEEE
14 years 27 days ago
Distributed genetic algorithm using automated adaptive migration
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
Hyunjung Lee, Byonghwa Oh, Jihoon Yang, Seonho Kim
ICCS
2005
Springer
14 years 1 months ago
Clustering Using Adaptive Self-organizing Maps (ASOM) and Applications
Abstract. This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on ...
Yong Wang, Chengyong Yang, Kalai Mathee, Giri Nara...
ICCV
2009
IEEE
15 years 1 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
ICMCS
2005
IEEE
92views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Semi-supervised meeting event recognition with adapted HMMs
This paper investigates the use of unlabeled data to help labeled data for audio-visual event recognition in meetings. To deal with situations in which it is difficult to collect...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio
ESANN
2006
13 years 9 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi