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CBMS
2007
IEEE
13 years 9 months ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...
ICIAP
2005
ACM
14 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...
PR
2006
112views more  PR 2006»
13 years 8 months ago
RBF-based neurodynamic nearest neighbor classification in real pattern space
Superposition of radial basis functions centered at given prototype patterns constitutes one of the most suitable energy forms for gradient systems that perform nearest neighbor c...
Mehmet Kerem Müezzinoglu, Jacek M. Zurada
IVC
2002
148views more  IVC 2002»
13 years 8 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
ICONIP
2009
13 years 6 months ago
Gender Classification Based on Support Vector Machine with Automatic Confidence
In this paper, we propose a support vector machine with automatic confidence (SVMAC) for gender classification based on facial images. Namely, we explore how to incorporate confide...
Zheng Ji, Bao-Liang Lu