1336 search results - page 48 / 268 » A Bayesian Computational Cognitive Model |
156
Voted
SCALESPACE
2001
Springer
15 years 8 months ago
2001
Springer
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
152
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
142
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
139
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
125
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
The management of big databases of threedimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easil...