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ICCV
2009
IEEE
15 years 2 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
ENDM
2010
167views more  ENDM 2010»
15 years 2 months ago
Column Generation based Primal Heuristics
In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Exte...
C. Joncour, S. Michel, R. Sadykov, D. Sverdlov, Fr...
CVPR
2011
IEEE
15 years 27 days ago
Online Group-Structured Dictionary Learning
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Zoltan Szabo, Barnabas Poczos, Andras Lorincz
ACCV
2010
Springer
14 years 11 months ago
A Convex Image Segmentation: Extending Graph Cuts and Closed-Form Matting
Abstract. Image matting and segmentation are two closely related topics that concern extracting the foreground and background of an image. While the methods based on global optimiz...
Youngjin Park, Suk I. Yoo
ASPDAC
2011
ACM
193views Hardware» more  ASPDAC 2011»
14 years 8 months ago
A structured parallel periodic Arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms
The recent multi/many-core CPUs or GPUs have provided an ideal parallel computing platform to accelerate the timeconsuming analysis of radio-frequency/millimeter-wave (RF/ MM) int...
Xuexin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Ta...