307 search results - page 25 / 62 » Discriminative Feature Co-Occurrence Selection for Object De... |
180
Voted
APBC
2004
15 years 5 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
136
Voted
ARTMED
2007
15 years 3 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
134
Voted
SADM
2010
15 years 1 months ago
2010
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
133
Voted
PRL
2007
15 years 3 months ago
2007
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
116
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...