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ICML
2010
IEEE
13 years 10 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 2 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
14 years 3 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
PAMI
2008
152views more  PAMI 2008»
13 years 9 months ago
Class-Based Feature Matching Across Unrestricted Transformations
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
Evgeniy Bart, Shimon Ullman
ICIP
2010
IEEE
13 years 7 months ago
RFSIM: A feature based image quality assessment metric using Riesz transforms
Image quality assessment (IQA) aims to provide computational models to measure the image quality in a perceptually consistent manner. In this paper, a novel feature based IQA mode...
Lin Zhang, Lei Zhang, Xuanqin Mou