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» Unsupervised feature selection using a neuro-fuzzy approach
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CVPR
2008
IEEE
16 years 8 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
CLEF
2006
Springer
15 years 10 months ago
TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
Daniel Ferrés, Horacio Rodríguez
TEC
2008
146views more  TEC 2008»
15 years 6 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...
CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
15 years 8 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool