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» Boosting Methods for Regression
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IBERAMIA
2010
Springer
15 years 2 months ago
A Visual Grammar for Face Detection
Several methods have been developed for face detection with certain success, however these tend to fail under difficult conditions such as partial occlusions and changes in orienta...
Augusto Meléndez, Luis Enrique Sucar, Eduar...
137
Voted
ICTAI
2010
IEEE
15 years 1 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
128
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A revisit to MRF-based depth map super-resolution and enhancement
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the p...
Jiangbo Lu, Dongbo Min, Ramanpreet Singh Pahwa, Mi...
WACV
2012
IEEE
13 years 11 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
150
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 4 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...