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ICNC
2005
Springer
16 years 6 days ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
ISPD
1998
ACM
88views Hardware» more  ISPD 1998»
15 years 11 months ago
An efficient technique for device and interconnect optimization in deep submicron designs
In this paper, we formulate a new class of optimization problem, named the general CH-posynomial program, and reveal the general dominance property. We propose an efcient algorith...
Jason Cong, Lei He
ICVGIP
2004
15 years 8 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
NIPS
1997
15 years 8 months ago
Graph Matching with Hierarchical Discrete Relaxation
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Richard C. Wilson, Edwin R. Hancock
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 7 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...