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» Semi-supervised graph clustering: a kernel approach
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IJCV
2007
208views more  IJCV 2007»
13 years 5 months ago
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...
S. V. N. Vishwanathan, Alexander J. Smola, Ren&eac...
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 6 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
14 years 10 days 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...
PLDI
2003
ACM
13 years 11 months ago
Region-based hierarchical operation partitioning for multicluster processors
Clustered architectures are a solution to the bottleneck of centralized register files in superscalar and VLIW processors. The main challenge associated with clustered architectu...
Michael L. Chu, Kevin Fan, Scott A. Mahlke
ISTA
2004
13 years 7 months ago
Query Graph Visualizer: A Collaborative Querying System
: Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to acc...
Lin Fu, Dion Hoe-Lian Goh, Schubert Shou-Boon Foo,...