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ESA
2001
Springer
145views Algorithms» more  ESA 2001»
15 years 9 months ago
Grouping Techniques for Scheduling Problems: Simpler and Faster
In this paper we describe a general grouping technique to devise faster and simpler approximation schemes for several scheduling problems. We illustrate the technique on two diff...
Aleksei V. Fishkin, Klaus Jansen, Monaldo Mastroli...
CAV
1993
Springer
108views Hardware» more  CAV 1993»
15 years 8 months ago
Computer-Assisted Simulation Proofs
Abstract. This paper presents a scalable approach to reasoning formally about distributed algorithms. It uses results about I O automata to extract a set of proof obligations for s...
Jørgen F. Søgaard-Andersen, Stephen ...
MCS
2000
Springer
15 years 8 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
IJCAI
1989
15 years 5 months ago
Maximum Entropy in Nilsson's Probabilistic Logic
Nilsson's Probabilistic Logic is a set theoretic mechanism for reasoning with uncertainty. We propose a new way of looking at the probability constraints enforced by the fram...
Thomas B. Kane
ICCV
2007
IEEE
16 years 6 months ago
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans
An interactive human segmentation approach is described. Given regions of interest provided by users, the approach iteratively estimates segmentation via a generalized EM algorith...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...