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ICML
2005
IEEE
16 years 4 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
PKDD
2000
Springer
100views Data Mining» more  PKDD 2000»
15 years 7 months ago
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
Silvia Acid, Luis M. de Campos
AMDO
2010
Springer
15 years 2 months ago
Multiple-Activity Human Body Tracking in Unconstrained Environments
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
AINA
2004
IEEE
15 years 7 months ago
An Overlay Network Architecture for Data Placement Strategies in a P2P Streaming Network
Abstract--Generic file sharing P2P applications have gained high popularity in the past few years. In particular P2P streaming architectures have attracted attention. Some of them ...
Kan Hung Wan, Chris Loeser
CVPR
2008
IEEE
16 years 6 months ago
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C...