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ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
PDCAT
2004
Springer
15 years 3 months ago
An Adaptive Proximity Route Selection Scheme in DHT-Based Peer to Peer Systems
This paper presents a proximity route selection scheme which is adaptive to the underlying network conditions. The proposed scheme repeatedly estimates and updates the total lookup...
Jiyoung Song, Sungyong Park, Jihoon Yang
TWC
2008
101views more  TWC 2008»
14 years 9 months ago
Adaptive generalized selection combining (A-GSC) receivers
We introduce an adaptive generalized selection combining (A-GSC) receiver that can be efficiently applied in diversity rich fading environments such as in ultra-wideband applicatio...
Athanasios S. Lioumpas, George K. Karagiannidis, T...
ISI
2005
Springer
15 years 3 months ago
Selective Fusion for Speaker Verification in Surveillance
This paper presents an improved speaker verification technique that is especially appropriate for surveillance scenarios. The main idea is a metalearning scheme aimed at improving ...
Yosef A. Solewicz, Moshe Koppel
SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
14 years 11 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison