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» A local approximation algorithm for maximum weight matching
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ICIP
2007
IEEE
14 years 1 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...
CVPR
2011
IEEE
13 years 3 months ago
From Partial Shape Matching through Local Deformation to Robust Global Shape Similarity for Object Detection
In this paper, we propose a novel framework for contour based object detection. Compared to previous work, our contribution is three-fold. 1) A novel shape matching scheme suitabl...
Tianyang Ma, LonginJan Latecki
RECOMB
2010
Springer
13 years 5 months ago
Novel Definition and Algorithm for Chaining Fragments with Proportional Overlaps
Chaining fragments is a crucial step in genome alignment. Existing chaining algorithms compute a maximum weighted chain with no overlaps allowed between adjacent fragments. In prac...
Raluca Uricaru, Alban Mancheron, Eric Rivals
MOBICOM
2006
ACM
14 years 1 months ago
On the complexity of scheduling in wireless networks
We consider the problem of throughput-optimal scheduling in wireless networks subject to interference constraints. We model the interference using a family of K-hop interference m...
Gaurav Sharma, Ravi R. Mazumdar, Ness B. Shroff
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 8 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro