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» Unsupervised feature selection using a neuro-fuzzy approach
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SAC
2008
ACM
13 years 5 months ago
Towards automatic feature vector optimization for multimedia applications
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
IJCNN
2006
IEEE
14 years 9 days ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
PAMI
2002
136views more  PAMI 2002»
13 years 6 months ago
Unsupervised Feature Selection Using Feature Similarity
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
14 years 10 days ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
TCSV
2010
13 years 1 months ago
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
Mohand Saïd Allili, Djemel Ziou, Nizar Bougui...