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CVIU
2006
222views more  CVIU 2006»
13 years 10 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
JAIR
2006
143views more  JAIR 2006»
13 years 9 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
CVIU
2007
136views more  CVIU 2007»
13 years 9 months ago
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
A maximum a posterior probability zero disparity filter (MAP ZDF) ensures coordinated stereo fixation upon an arbitrarily moving, rotating, re-configuring hand, performing mark...
Andrew Dankers, Nick Barnes, Alexander Zelinsky
JUCS
2008
140views more  JUCS 2008»
13 years 9 months ago
Parallel Formulations of Scalar Multiplication on Koblitz Curves
We present an algorithm that by using the and -1 Frobenius operators concurrently allows us to obtain a parallelized version of the classical -and-add scalar multiplication algor...
Omran Ahmadi, Darrel Hankerson, Francisco Rodr&iac...
KAIS
2008
151views more  KAIS 2008»
13 years 9 months ago
Expertise-based peer selection in Peer-to-Peer networks
Abstract. Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining th...
Peter Haase, Ronny Siebes, Frank van Harmelen