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» Models for Incomplete and Probabilistic Information
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TSP
2010
14 years 11 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
LPNMR
2005
Springer
15 years 10 months ago
Data Integration: a Challenging ASP Application
Abstract. The paper presents INFOMIX a successful application of ASP technology to the domain of Data Integration. INFOMIX is a novel system which supports powerful information int...
Nicola Leone, Thomas Eiter, Wolfgang Faber, Michae...
NIPS
2004
15 years 5 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CVPR
2000
IEEE
16 years 6 months ago
Chromatic Framework for Vision in Bad Weather
Conventional vision systems are designed to perform in clear weather. However, any outdoor vision system is incomplete without mechanisms that guarantee satisfactory performance u...
Srinivasa G. Narasimhan, Shree K. Nayar
CVPR
2009
IEEE
16 years 11 months ago
Joint and Implicit Registration for Face Recognition
Contemporary face recognition algorithms rely on precise localization of keypoints (corner of eye, nose etc.). Unfortunately, finding keypoints reliably and accurately remains a...
Peng Li, Simon J. D. Prince