256 search results - page 35 / 52 » Uncertainties in Bayesian Geometric Models |
91
Voted
BMVC
2000
15 years 1 months ago
2000
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
131
Voted
DAGM
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
95
Voted
JMLR
2010
14 years 7 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
122
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CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...