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» Solving Hierarchical Optimization Problems Using MOEAs
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98
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ECCV
2010
Springer
13 years 6 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 2 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
85
Voted
ICCV
2007
IEEE
16 years 2 months ago
A Matte-less, Variational Approach to Automatic Scene Compositing
In this paper, we consider the problem of compositing a scene from multiple images. Multiple images, for example, can be obtained by varying the exposure of the camera, by changin...
Shanmuganathan Raman, Subhasis Chaudhuri
PDP
2003
IEEE
15 years 5 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
JETAI
2008
93views more  JETAI 2008»
15 years 12 days ago
The message management asynchronous backtracking algorithm
: This paper shows how the Asynchronous Backtracking (Yokoo et al., 1998) algorithm, a well known distributed constraint satisfaction algorithm, produces unnecessary messages and i...
Hong Jiang, José M. Vidal