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» Kernels and Regularization on Graphs
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137
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ICML
2007
IEEE
16 years 1 months ago
Entire regularization paths for graph data
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda
106
Voted
COMBINATORICS
2004
94views more  COMBINATORICS 2004»
15 years 10 days ago
Short Cycles in Random Regular Graphs
Consider random regular graphs of order n and degree d = d(n) 3. Let g = g(n) 3 satisfy (d-1)2g-1 = o(n). Then the number of cycles of lengths up to g have a distribution simila...
Brendan D. McKay, Nicholas C. Wormald, Beata Wysoc...
IPPS
2007
IEEE
15 years 6 months ago
An Architectural Framework for Automated Streaming Kernel Selection
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...
119
Voted
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
104
Voted
CAAN
2007
Springer
15 years 6 months ago
Cleaning Random d-Regular Graphs with Brushes Using a Degree-Greedy Algorithm
In the recently introduced model for cleaning a graph with brushes, we use a degree-greedy algorithm to clean a random d-regular graph on n vertices (with dn even). We then use a d...
Margaret-Ellen Messinger, Pawel Pralat, Richard J....