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» Learning random walks to rank nodes in graphs
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JMLR
2012
11 years 10 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
MOBIHOC
2009
ACM
14 years 8 months ago
Aging rules: what does the past tell about the future in mobile ad-hoc networks?
The study in mobile ad-hoc networks (MANET) is facing challenges brought by recent discovery of non-exponential behavior of the inter-contact time distribution of mobile nodes. In...
Han Cai, Do Young Eun
CVPR
2012
IEEE
11 years 10 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
SODA
2010
ACM
197views Algorithms» more  SODA 2010»
14 years 4 months ago
Quasirandom Load Balancing
We propose a simple distributed algorithm for balancing indivisible tokens on graphs. The algorithm is completely deterministic, though it tries to imitate (and enhance) a random ...
Tobias Friedrich, Martin Gairing, Thomas Sauerwald
EDBT
2010
ACM
246views Database» more  EDBT 2010»
14 years 2 months ago
Fast computation of SimRank for static and dynamic information networks
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizho...