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CVPR
2006
IEEE
15 years 7 months 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 4 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 1 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 4 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 6 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