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» Modelling perception using image processing algorithms
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ECML
2005
Springer
16 years 11 days ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
ICASSP
2011
IEEE
14 years 10 months ago
On the success of network inference using a markov routing model
In this paper we discuss why a simple network topology inference algorithm based on network co-occurrence measurements and a Markov random walk model for routing enables perfect t...
Laura Balzano, Robert Nowak, Matthew Roughan
CIS
2008
Springer
16 years 1 months ago
Multiperspective Modeling and Rendering Using General Linear Cameras
We present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model is capable of describing all perspective (pinhol...
Jingyi Yu, Yuanyuan Ding, and Leonard McMillan
PR
2007
176views more  PR 2007»
15 years 6 months ago
A computer vision method to locate cold spots in foods in microwave sterilization processes
A major challenge in developing advanced thermal processess based on electromagnetic heating is to determine the location of cold spots in foods. A rapid and reliable method was d...
Ram Bhuwan Pandit, Juming Tang, Frank Liu, Galina ...
ICIP
2002
IEEE
16 years 8 months ago
Efficient selection of image patches with high motion confidence
Motion confidence measures aim to identify how well an image patch determines image motion. These kinds of confidence measures are commonly used to select points for optical flow ...
Peter Sand, Leonard McMillan