192 search results - page 20 / 39 » Boosting in Probabilistic Neural Networks |
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
Image based human pose recovery has many applications in different industries such as games, entertainment, physiological rehabilitation and biometrics. This paper presents a new ...
SAC
2006
ACM
14 years 2 months ago
2006
ACM
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
IEEEICCI
2003
IEEE
14 years 2 months ago
2003
IEEE
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...