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CVPR
2012
IEEE
12 years 6 days 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
ACCV
2009
Springer
14 years 4 months ago
A Smarter Particle Filter
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank
BMCBI
2010
113views more  BMCBI 2010»
13 years 10 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
ER
2007
Springer
125views Database» more  ER 2007»
14 years 4 months ago
On the Correlation between Process Model Metrics and Errors
Business process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive ap...
Jan Mendling, Gustaf Neumann, Wil M. P. van der Aa...
NIPS
2004
13 years 11 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski