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AAAI
2007
13 years 10 months ago
Discovering Near Symmetry in Graphs
Symmetry is a widespread phenomenon that can offer opportunities for powerful exploitation in areas as diverse as molecular chemistry, pure mathematics, circuit design, biology an...
Maria Fox, Derek Long, Julie Porteous
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
11 years 10 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 2 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
MFCS
2010
Springer
13 years 6 months ago
Parity Games with Partial Information Played on Graphs of Bounded Complexity
Abstract. We address the strategy problem for parity games with partial information and observable colors, played on finite graphs of bounded graph complexity. We consider several...
Bernd Puchala, Roman Rabinovich
ICPR
2006
IEEE
14 years 9 months ago
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
We present a novel multi-object tracking algorithm based on multiple hypotheses about the trajectories of the objects. Our work is inspired by Reid's multiple hypothesis trac...
Alex Yong Sang Chia, Liyuan Li, Weimin Huang