416 search results - page 8 / 84 » Nonlinear Feature Selection by Relevance Feature Vector Mach... |
131
Voted
PAMI
2010
15 years 29 days ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
109
Voted
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Recently, there is a growing interest in automatic recognition of human motion for applications, such as humanoid robots, human activity monitoring, and surveillance. In this pape...
128
Voted
ICIAP
2005
ACM
16 years 2 months ago
2005
ACM
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...
108
Voted
ICMCS
2006
IEEE
15 years 8 months ago
2006
IEEE
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...
162
Voted
ML
2008
ACM
15 years 2 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...