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ICASSP
2011
IEEE
14 years 9 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ECCV
2006
Springer
16 years 8 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
136
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ICPR
2008
IEEE
16 years 7 months ago
Graph-based classification for multiple observations of transformed patterns
We consider the problem of classification when multiple observations of a pattern are available, possibly under different transformations. We view this problem as a special case o...
Effrosini Kokiopoulou, Pascal Frossard, Stefanos P...
ICPR
2002
IEEE
16 years 7 months ago
A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects
In thispaper, the problem ofsimultaneousmotionestimation of multiple independently moving objects is addressed. A novel Bayesian approach is designedfor solvingthisproblem using t...
Gang Qian, Rama Chellappa, Qinfen Zheng
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
16 years 22 days ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...