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» Feature selection methods for text classification
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142
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TSMC
2008
225views more  TSMC 2008»
14 years 10 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
230
Voted
ICDAR
2011
IEEE
13 years 10 months ago
Non-rigid Registration and Restoration of Double-Sided Historical Manuscripts
This paper presents a fully automatic framework for the restoration of double-sided historical manuscripts which are impaired by ink bleed-through distortions. First, the recto si...
Jie Wang, Chew Lim Tan
ICIP
2009
IEEE
15 years 12 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
CVPR
2008
IEEE
16 years 27 days ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
ICCV
2005
IEEE
16 years 25 days ago
Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching
We propose a novel method for identifying road vehicles between two non-overlapping cameras. The problem is formulated as a same-different classification problem: probability of t...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar