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PAMI
2011
15 years 1 months ago
Cost-Sensitive Boosting
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
ICCV
2009
IEEE
16 years 11 months ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
CVPR
2005
IEEE
16 years 8 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
CVPR
2005
IEEE
16 years 8 months ago
The Modified pbM-Estimator Method and a Runtime Analysis Technique for the RANSAC Family
Robust regression techniques are used today in many computer vision algorithms. Chen and Meer recently presented a new robust regression technique named the projection based M-est...
Stas Rozenfeld, Ilan Shimshoni