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CVPR
2006
IEEE
16 years 13 days ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
CVPR
2012
IEEE
13 years 8 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...
COR
1999
99views more  COR 1999»
15 years 6 months ago
Applications of modern heuristic search methods to pattern sequencing problems
This article describes applications of modern heuristic search methods to pattern sequencing problems, i.e., problems seeking for a permutation of the rows of a given matrix with r...
Andreas Fink, Stefan Voß
AAAI
2012
13 years 8 months ago
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection
In this paper, a new convex matching pursuit scheme is proposed for tackling large-scale sparse coding and subset selection problems. In contrast with current matching pursuit alg...
Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang
BMCV
2000
Springer
15 years 10 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek