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» On the Convergence of Boosting Procedures
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CLOR
2006
15 years 10 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
ECCV
2010
Springer
15 years 8 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ECCV
2006
Springer
15 years 8 months ago
Robust Face Alignment Based on Hierarchical Classifier Network
Abstract. Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to al...
Li Zhang, Haizhou Ai, Shihong Lao
ICASSP
2010
IEEE
15 years 6 months ago
Enhanced trellis based vector quantization for coordinated beamforming
This paper presents two techniques to boost the quantization performance of trelli-based beamforming vector quantization schemes [?], [?]. It is well known that tail-biting trelli...
Chun Kin Au-Yeung, Shahab Sanayei
TSP
2010
15 years 27 days ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...