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TNN
2008
182views more  TNN 2008»
13 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
ICASSP
2011
IEEE
13 years 1 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes
MIS
2011
Springer
256views Multimedia» more  MIS 2011»
13 years 4 months ago
Event sharing in vehicular networks using geographic vectors and maps
By exchanging events in a vehicular ad hoc network (VANET), drivers can receive information that allows them to find relevant places (e.g., parking spaces) or avoid dangerous/unde...
Thierry Delot, Sergio Ilarri, Nicolas Cenerario, T...
ICASSP
2011
IEEE
13 years 1 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
ICASSP
2011
IEEE
13 years 1 months ago
Automatic music tagging via PARAFAC2
Automatic music tagging is addressed by resorting to auditory temporal modulations and Parallel Factor Analysis 2 (PARAFAC2). The starting point is to represent each music recordi...
Yannis Panagakis, Constantine Kotropoulos