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ECCV
2010
Springer
14 years 11 months ago
An Efficient Graph Cut Algorithm for Computer Vision Problems
Abstract. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems in computer vision. It has been shown that graph cut algorithms designed kee...
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N...
CVPR
2012
IEEE
13 years 4 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2008
IEEE
16 years 4 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman
SIGMOD
2005
ACM
76views Database» more  SIGMOD 2005»
16 years 2 months ago
Report from the first international workshop on computer vision meets databases (CVDB 2004)
Laurent Amsaleg, Björn Þór Jónsson, Vincent Or...
PAMI
2011
14 years 9 months ago
Dynamic Programming and Graph Algorithms in Computer Vision
Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...
Pedro F. Felzenszwalb, Ramin Zabih