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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 7 months ago
Framework for Visualizing Model-Driven Software Evolution and its Application
Software Visualization encompasses the development and evaluation of methods for graphically representing different aspects of methods of software, including its structure, execut...
Akepogu Anand Rao, Karanam Madhavi
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 7 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
ICCV
2011
IEEE
14 years 7 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
CVPR
2007
IEEE
16 years 9 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher