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SODA
2010
ACM
200views Algorithms» more  SODA 2010»
16 years 3 months ago
Fully-Functional Succinct Trees
We propose new succinct representations of ordinal trees, which have been studied extensively. It is known that any n-node static tree can be represented in 2n + o(n) bits and a l...
Kunihiko Sadakane, Gonzalo Navarro
ML
2007
ACM
144views Machine Learning» more  ML 2007»
15 years 5 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
SIAMREV
2010
119views more  SIAMREV 2010»
15 years 1 months ago
From Functional Analysis to Iterative Methods
We examine condition numbers, preconditioners, and iterative methods for finite element discretizations of coercive PDEs in the context of the fundamental solvability result, the L...
Robert C. Kirby
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 7 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
CVPR
1997
IEEE
15 years 10 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss