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» Theory and Use of the EM Algorithm
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ICCV
1995
IEEE
15 years 8 months ago
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
William T. Freeman, David H. Brainard
ICML
2004
IEEE
16 years 5 months ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer
IWANN
1999
Springer
15 years 8 months ago
Adaptive Resonance Theory Microchips
Recently, a real-time clustering microchip based on the ART1 algorithm has been reported. That chip was able to classify 100-bit input patterns into up to 18 categories. However, i...
Teresa Serrano-Gotarredona, Bernabé Linares...
ISBI
2004
IEEE
16 years 5 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang
ASP
2003
Springer
15 years 9 months ago
Implementing OCLP as a front-end for Answer Set Solvers: From Theory to Practice
Abstract. Ordered Choice Logic Programming (OCLP) allows for preferencebased decision-making with multiple alternatives and without the burden of any form of negation. This complet...
Martin Brain, Marina De Vos