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» Computable Linearizations of Well-partial-orderings
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PODC
2010
ACM
15 years 10 months ago
Verifying linearizability with hindsight
We present a proof of safety and linearizability of a highlyconcurrent optimistic set algorithm. The key step in our proof is the Hindsight Lemma, which allows a thread to infer t...
Peter W. O'Hearn, Noam Rinetzky, Martin T. Vechev,...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 10 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 10 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
MFCS
1995
Springer
15 years 10 months ago
Graph Inference from a Walk for TRees of Bounded Degree 3 is NP-Complete
The graph inference from a walk for a class C of undirected edge-colored graphs is, given a string x of colors, nding the smallest graph G in C that allows a traverse of all edge...
Osamu Maruyama, Satoru Miyano
RT
1995
Springer
15 years 10 months ago
The Role of Functional Analysis in Global Illumination
Abstract: The problem of global illumination is virtually synonymouswith solving the rendering equation. Although a great deal of research has been directed toward Monte Carlo and ...
James Arvo