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» Objective Functions for Feature Discrimination
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102
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ECCV
2010
Springer
15 years 5 months ago
3D Point Correspondence by Minimum Description Length in Feature Space
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...
105
Voted
ICDAR
2009
IEEE
15 years 7 months ago
Feature Based Binarization of Document Images Degraded by Uneven Light Condition
This paper proposes a document image binarization method, which is especially robust to the images degraded by uneven light condition, such as the camera captured document images....
Jung Gap Kuk, Nam Ik Cho
120
Voted
ICPR
2006
IEEE
15 years 6 months ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao
103
Voted
ICIP
2009
IEEE
16 years 1 months ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...
JMLR
2011
148views more  JMLR 2011»
14 years 7 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara