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CVPR
2006
IEEE
15 years 11 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
IPPS
2002
IEEE
15 years 2 months ago
Optimizing Graph Algorithms for Improved Cache Performance
Tiling has long been used to improve cache performance. Recursion has recently been used as a cache-oblivious method of improving cache performance. Both of these techniques are n...
Joon-Sang Park, Michael Penner, Viktor K. Prasanna
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
14 years 11 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
CCGRID
2006
IEEE
15 years 1 months ago
Compilation of XSLT into Dataflow Graphs for Web Service Composition
Our current research into programming models for parallel web services composition is targeted at providing mechanisms for obtaining higher throughput for large scale compute and ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
JMLR
2012
13 years 7 days ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss