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137
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GD
2008
Springer
15 years 4 months ago
Rapid Multipole Graph Drawing on the GPU
Abstract. As graphics processors become powerful, ubiquitous and easier to program, they have also become more amenable to general purpose high-performance computing, including the...
Apeksha Godiyal, Jared Hoberock, Michael Garland, ...
126
Voted
TPDS
2008
96views more  TPDS 2008»
15 years 3 months ago
Stochastic Graph Processes for Performance Evaluation of Content Delivery Applications in Overlay Networks
This paper proposes a new methodology to model the distribution of finite size content to a group of users connected through an overlay network. Our methodology describes the distr...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack
161
Voted
ICCV
2011
IEEE
14 years 3 months ago
Recursive MDL via Graph Cuts: Application to Segmentation
We propose a novel patch-based image representation that is useful because it (1) inherently detects regions with repetitive structure at multiple scales and (2) yields a paramete...
Lena Gorelick, Andrew Delong, Olga Veksler, Yuri B...
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
ILP
2003
Springer
15 years 8 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon