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» Unsupervised Feature Selection Using Feature Similarity
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ICIP
2007
IEEE
14 years 12 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
ICPR
2002
IEEE
14 years 11 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 10 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
SEBD
2008
169views Database» more  SEBD 2008»
13 years 11 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Generating Expressive Summaries for Speech and Musical Audio using Self-Similarity Clues
We present a novel algorithm for structural analysis of audio to detect repetitive patterns that are suitable for content-based audio information retrieval systems, since repetiti...
Mustafa Sert, Buyurman Baykal, Adnan Yazici