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ICNC
2005
Springer
15 years 3 months 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
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
14 years 9 months ago
Non-linear fusion of local matching scores for face verification
This paper presents a face verification framework for fusing matching scores that measure similarities of local facial features. The framework is aimed to handle an openset verifi...
Ziheng Zhou, Samuel Chindaro, Farzin Deravi
VLSISP
2002
124views more  VLSISP 2002»
14 years 9 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
96
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Towards robust word discovery by self-similarity matrix comparison
Word discovery is the task of discovering and collecting occurrences of repeating words in the absence of prior acoustic and linguistic knowledge, or training material. The capabi...
Armando Muscariello, Guillaume Gravier, Fré...
ICPR
2000
IEEE
15 years 1 months ago
Acoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features...
Matthew Roach, Jason Brand, John S. Mason