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» Boosting strategy for classification
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ICML
2006
IEEE
16 years 5 months ago
Multiclass boosting with repartitioning
A multiclass classification problem can be reduced to a collection of binary problems with the aid of a coding matrix. The quality of the final solution, which is an ensemble of b...
Ling Li
178
Voted
IIHMSP
2006
IEEE
136views Multimedia» more  IIHMSP 2006»
15 years 11 months ago
Boosted String Representation and Its Application to Video Surveillance
This paper presents a new behavior classification system for analyzing human movements directly from video sequences. First of all, we propose a triangulation-based method to tran...
Yung-Tai Hsu, Jun-Wei Hsieh
SAT
2009
Springer
111views Hardware» more  SAT 2009»
15 years 11 months ago
Restart Strategy Selection Using Machine Learning Techniques
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...
Shai Haim, Toby Walsh
CVPR
2009
IEEE
17 years 6 days ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
CVPR
2007
IEEE
16 years 7 months ago
Generic Face Alignment using Boosted Appearance Model
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
Xiaoming Liu 0002