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» Multi-class feature selection for texture classification
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CVPR
2008
IEEE
14 years 8 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
13 years 7 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
IJCV
2006
206views more  IJCV 2006»
13 years 6 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
ECCV
2006
Springer
14 years 8 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
ECCV
2008
Springer
14 years 8 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...