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» Experiments on Graph Clustering Algorithms
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CVPR
2008
IEEE
14 years 11 months 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...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 3 months ago
ACOhg: dealing with huge graphs
Ant Colony Optimization (ACO) has been successfully applied to those combinatorial optimization problems which can be translated into a graph exploration. Artificial ants build s...
Enrique Alba, J. Francisco Chicano
IJON
2010
121views more  IJON 2010»
13 years 6 months ago
Sample-dependent graph construction with application to dimensionality reduction
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Bo Yang, Songcan Chen
WWW
2008
ACM
14 years 9 months ago
Collaborative knowledge semantic graph image search
In this paper, we propose a Collaborative Knowledge Semantic Graphs Image Search (CKSGIS) system. It provides a novel way to conduct image search by utilizing the collaborative na...
Jyh-Ren Shieh, Yang-Ting Yeh, Chih-Hung Lin, Ching...
CIKM
2010
Springer
13 years 7 months ago
Fast and accurate estimation of shortest paths in large graphs
Computing shortest paths between two given nodes is a fundamental operation over graphs, but known to be nontrivial over large disk-resident instances of graph data. While a numbe...
Andrey Gubichev, Srikanta J. Bedathur, Stephan Seu...