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» Objective Functions for Feature Discrimination
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ICCV
2007
IEEE
14 years 5 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
ICCV
1999
IEEE
14 years 3 months ago
Motion Segmentation based on Factorization Method and Discriminant Criterion
A motion segmentation algorithm based on factorization method and discriminant criterion is proposed. This method uses a feature with the most useful similarities for grouping, se...
Naoyuki Ichimura
VMV
2008
162views Visualization» more  VMV 2008»
14 years 11 days ago
Learning Distinctive Local Object Characteristics for 3D Shape Retrieval
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
Raoul Wessel, Rafal Baranowski, Reinhard Klein
CVPR
2001
IEEE
15 years 29 days ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
TKDE
2008
152views more  TKDE 2008»
13 years 10 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han