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» Novel image feature alphabets for object recognition
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ICCV
2005
IEEE
15 years 12 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
CVPR
2007
IEEE
16 years 22 hour ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
MICCAI
2004
Springer
15 years 11 months ago
Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT
A new approach to the hepatic primary tumor recognition from dynamic CT images is proposed. In the first step of the proposed method, texture features are extracted from manually t...
Dorota Duda, Marek Kretowski, Johanne Bézy-...
ECCV
2004
Springer
15 years 12 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
WACV
2007
IEEE
15 years 4 months ago
Fast Multi-scale Template Matching Using Binary Features
Template matching is one of the key problems in computer vision and has been widely used in tracking, recognition and many other applications. Traditional methods are usually slow...
Feng Tang, Hai Tao