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WABI
2009
Springer
128views Bioinformatics» more  WABI 2009»
14 years 3 months ago
Improving Inference of Transcriptional Regulatory Networks Based on Network Evolutionary Models
Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
Xiuwei Zhang, Bernard M. E. Moret
SI3D
2006
ACM
14 years 2 months ago
Variance shadow maps
Shadow maps are a widely used shadowing technique in real time graphics. One major drawback of their use is that they cannot be filtered in the same way as color textures, typica...
William Donnelly, Andrew Lauritzen
IEEEPACT
2002
IEEE
14 years 1 months ago
Using the Compiler to Improve Cache Replacement Decisions
Memory performance is increasingly determining microprocessor performance and technology trends are exacerbating this problem. Most architectures use set-associative caches with L...
Zhenlin Wang, Kathryn S. McKinley, Arnold L. Rosen...
EMMCVPR
2001
Springer
14 years 1 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
CORR
2010
Springer
170views Education» more  CORR 2010»
13 years 9 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein