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» Image Based Regression Using Boosting Method
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ICIP
2005
IEEE
15 years 3 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
ICPR
2010
IEEE
15 years 4 months ago
Boosting Gray Codes for Red Eyes Removal
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the red-eyes artifacts have de-facto become a critical problem. The technique he...
Sebastiano Battiato, Giovanni Maria Farinella, Mir...
ML
2007
ACM
106views Machine Learning» more  ML 2007»
14 years 9 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 1 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
70
Voted
ACCV
2007
Springer
15 years 3 months ago
Multiview Pedestrian Detection Based on Vector Boosting
Abstract. In this paper, a multiview pedestrian detection method based on Vector Boosting algorithm is presented. The Extended Histograms of Oriented Gradients (EHOG) features are ...
Cong Hou, Haizhou Ai, Shihong Lao