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AIIA
2003
Springer
15 years 4 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
ICIAP
2001
Springer
15 years 11 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
Baback Moghaddam, Chahab Nastar, Alex Pentland
TIP
2008
219views more  TIP 2008»
14 years 11 months ago
Binary Partition Trees for Object Detection
This paper discusses the use of Binary Partition Trees (BPTs) for object detection. BPTs are hierarchical region-based representations of images. They define a reduced set of regio...
Verónica Vilaplana, Ferran Marqués, ...
RECOMB
2005
Springer
15 years 12 months ago
Information Theoretic Approaches to Whole Genome Phylogenies
We describe a novel method for efficient reconstruction of phylogenetic trees, based on sequences of whole genomes or proteomes, whose lengths may greatly vary. The core of our me...
David Burstein, Igor Ulitsky, Tamir Tuller, Benny ...
ICML
2005
IEEE
16 years 14 days ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos