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TSP
2010
13 years 3 months ago
Universal randomized switching
Abstract--In this paper, we consider a competitive approach to sequential decision problems, suitable for a variety of signal processing applications where at each of a succession ...
Suleyman Serdar Kozat, Andrew C. Singer
CVPR
2010
IEEE
14 years 4 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
14 years 2 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
MFCS
2005
Springer
14 years 2 months ago
Coloring Sparse Random k-Colorable Graphs in Polynomial Expected Time
Abstract. Feige and Kilian [5] showed that finding reasonable approximative solutions to the coloring problem on graphs is hard. This motivates the quest for algorithms that eithe...
Julia Böttcher
WSC
1997
13 years 9 months ago
An Integrated Framework for Deterministic and Stochastic Optimization
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Leyuan Shi, Sigurdur Ólafsson