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» Graphical Models for Graph Matching
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CVPR
2008
IEEE
15 years 3 days ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CVPR
2010
IEEE
14 years 6 months ago
A probabilistic image jigsaw puzzle solver
We explore the problem of reconstructing an image from a bag of square, non-overlapping image patches, the jigsaw puzzle problem. Completing jigsaw puzzles is challenging and requ...
Taeg Sang Cho, Shai Avidan, William Freeman
MOBICOM
2006
ACM
14 years 4 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
BMCBI
2006
141views more  BMCBI 2006»
13 years 10 months ago
Maximum common subgraph: some upper bound and lower bound results
Background: Structure matching plays an important part in understanding the functional role of biological structures. Bioinformatics assists in this effort by reformulating this p...
Xiuzhen Huang, Jing Lai, Steven F. Jennings
HIPC
2007
Springer
14 years 4 months ago
Accelerating Large Graph Algorithms on the GPU Using CUDA
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
Pawan Harish, P. J. Narayanan