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ICCV
2011
IEEE
14 years 2 months ago
Are Spatial and Global Constraints Really Necessary for Segmentation?
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Sm...
ICASSP
2008
IEEE
15 years 9 months ago
A weighted subspace approach for improving bagging performance
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
Qu-Tang Cai, Chun-Yi Peng, Chang-Shui Zhang
SIAMCOMP
1998
114views more  SIAMCOMP 1998»
15 years 2 months ago
Universal Limit Laws for Depths in Random Trees
Random binary search trees, b-ary search trees, median-of-(2k+1) trees, quadtrees, simplex trees, tries, and digital search trees are special cases of random split trees. For these...
Luc Devroye
JLP
2007
89views more  JLP 2007»
15 years 2 months ago
Universality and semicomputability for nondeterministic programming languages over abstract algebras
tract Algebras Wei Jiang∗ , Yuan Wang† , and Jeffery Zucker‡ September 11, 2006 The Universal Function Theorem (UFT) originated in 1930s with the work of Alan Turing, who p...
Wei Jiang, Yuan Wang, Jeffery I. Zucker
IPL
2000
96views more  IPL 2000»
15 years 2 months ago
On bounded occurrence constraint satisfaction
An approximation algorithm for a constraint satisfaction problem is said to be nontrivial if its performance ratio is strictly superior to the expected performance of the algorith...
Johan Håstad