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ICIAP
2005
ACM
15 years 9 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
FPL
2008
Springer
119views Hardware» more  FPL 2008»
14 years 11 months ago
An FPGA-based high-speed, low-latency trigger processor for high-energy physics
An example of an FPGA based application for a high-energy physics experiment is presented which features all facets of modern FPGA design. The special requirements here are high b...
Jan de Cuveland, Felix Rettig, Venelin Angelov, Vo...
77
Voted
ICPR
2004
IEEE
15 years 10 months ago
Evaluation of Tracking Reliability Metrics based on Information Theory and Normalized Correlation
The efficiency of three tracking reliability metrics based on information theory and normalized correlation is examined in this paper. The two information theory tools used for th...
Evangelos Loutas, Nikos Nikolaidis, Ioannis Pitas
ICMCS
2009
IEEE
150views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Analysis of appearance features for human matching between different fields of view
Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In...
Xiaowei Lv, Qing-Jie Kong, Fei Weng, Yuncai Liu
ICASSP
2008
IEEE
15 years 4 months ago
Localized spectro-temporal cepstral analysis of speech
Drawing on recent progress in auditory neuroscience, we present a novel speech feature analysis technique based on localized spectrotemporal cepstral analysis of speech. We procee...
Jake V. Bouvrie, Tony Ezzat, Tomaso Poggio