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ECAI
2008
Springer
15 years 6 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
BIB
2007
82views more  BIB 2007»
15 years 4 months ago
High-throughput modeling and analysis of protein structural dynamics
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...
Xiong Liu, Hassan A. Karimi
IJCV
2006
82views more  IJCV 2006»
15 years 4 months ago
A Variational Model for P+XS Image Fusion
We propose an algorithm to increase the resolution of multispectral satellite images knowing the panchromatic image at high resolution and the spectral channels at lower resolutio...
Coloma Ballester, Vicent Caselles, Laura Igual, Jo...
JUCS
2010
149views more  JUCS 2010»
15 years 2 months ago
Pose Estimation of Rotating Sensors in the Context of Accurate 3D Scene Modeling
: Sensor-line cameras have been designed for space missions in the 1980s, and are used for various tasks, including panoramic imaging. Laser range-finders are able to generate den...
Karsten Scheibe, Fay Huang, Reinhard Klette
EMNLP
2010
15 years 2 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer