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» Unsupervised feature extraction using neuro-fuzzy approach
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CIBCB
2006
IEEE
13 years 9 months ago
A New Hybrid Approach for Unsupervised Gene Selection
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
Young Bun Kim, Jean Gao
MICCAI
2008
Springer
14 years 8 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
SPEECH
2010
154views more  SPEECH 2010»
13 years 2 months ago
Long story short - Global unsupervised models for keyphrase based meeting summarization
act 11 We analyze and compare two different methods for unsupervised extractive spontaneous speech summarization in the meeting 12 domain. Based on utterance comparison, we introdu...
Korbinian Riedhammer, Benoît Favre, Dilek Ha...
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 1 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
LREC
2010
220views Education» more  LREC 2010»
13 years 8 months ago
An Unsupervised Approach for Semantic Relation Interpretation
In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally s...
Emiliano Giovannetti