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CEC
2009
IEEE
13 years 6 months ago
Multi-objective Combinatorial Optimisation with Coincidence algorithm
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
NIPS
2000
13 years 9 months ago
Machine Learning for Video-Based Rendering
We present techniques for rendering and animation of realistic scenes by analyzing and training on short video sequences. This work extends the new paradigm for computer animation...
Arno Schödl, Irfan A. Essa
CVPR
2012
IEEE
11 years 11 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
FOCS
2003
IEEE
14 years 1 months ago
Always Good Turing: Asymptotically Optimal Probability Estimation
While deciphering the Enigma Code during World War II, I.J. Good and A.M. Turing considered the problem of estimating a probability distribution from a sample of data. They derive...
Alon Orlitsky, Narayana P. Santhanam, Junan Zhang