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» On the Minimal Embedding Field
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NIPS
2000
15 years 7 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
JCM
2007
115views more  JCM 2007»
15 years 5 months ago
eEPC: an EPCglobal-compliant Embedded Architecture for RFID-based Solutions
— Radio Frequency Identification (RFID) technology has a lot of potential to improve visibility across the supply chain and automate the business processes. This paper describes ...
Franco Fummi, Giovanni Perbellini
ECCV
2008
Springer
16 years 7 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICIP
2004
IEEE
16 years 7 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
ECCV
2008
Springer
16 years 4 months ago
Window Annealing over Square Lattice Markov Random Field
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee