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CVPR
2006
IEEE
16 years 8 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
CVPR
2007
IEEE
16 years 8 months ago
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
Groupwise shape registration of raw edge sequence is addressed. Automatically extracted edge maps are treated as noised input shape of the deformable object and their registration...
Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Ta...
CVPR
2007
IEEE
16 years 8 months 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
ICCV
2007
IEEE
16 years 8 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han
ICCV
2001
IEEE
16 years 8 months ago
Lambertian Reflectance and Linear Subspaces
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D lin...
Ronen Basri, David W. Jacobs