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ECAI
2010
Springer
13 years 9 months ago
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
Johan Kwisthout, Hans L. Bodlaender, Linda C. van ...
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 8 months ago
Naming Games in Spatially-Embedded Random Networks
We investigate a prototypical agent-based model, the Naming Game, on random geometric networks. The Naming Game is a minimal model, employing local communications that captures th...
Qiming Lu, Gyorgy Korniss, Boleslaw K. Szymanski
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
A Generative Sketch Model for Human Hair Analysis and Synthesis
In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our represe...
Hong Chen, Song Chun Zhu
SIGIR
2008
ACM
13 years 8 months ago
Compressed collections for simulated crawling
Collections are a fundamental tool for reproducible evaluation of information retrieval techniques. We describe a new method for distributing the document lengths and term counts ...
Alessio Orlandi, Sebastiano Vigna
SIAMCOMP
1998
124views more  SIAMCOMP 1998»
13 years 8 months ago
Near-Linear Time Construction of Sparse Neighborhood Covers
This paper introduces a near-linear time sequential algorithm for constructing a sparse neighborhood cover. This implies analogous improvements (from quadratic to near-linear time)...
Baruch Awerbuch, Bonnie Berger, Lenore Cowen, Davi...