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JMLR
2006
169views more  JMLR 2006»
13 years 8 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
INFOCOM
2005
IEEE
14 years 2 months ago
Non-pipelined relay improves throughput performance of wireless ad-hoc networks
—The communication model typically assumed in wireless ad-hoc networks is based on a traditional “pipelined relay” (PR) strategy. In PR, an end-to-end flow has multiple outs...
Aravind Velayutham, Karthikeyan Sundaresan, Raghup...
CVPR
2003
IEEE
14 years 10 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
IPPS
2006
IEEE
14 years 2 months ago
Model-based evaluation of search strategies in peer-to-peer networks
This paper exploits a previously developed analytical modeling framework to compare several variations of the basic flooding search strategy in unstructured decentralized peer-to...
Rossano Gaeta, Matteo Sereno
ECCV
2004
Springer
14 years 10 months ago
Multiple Classifier System Approach to Model Pruning in Object Recognition
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
Josef Kittler, Alireza Ahmadyfard