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NIPS
2000
13 years 9 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs
AINA
2008
IEEE
14 years 2 months ago
An Analytical Study of Wireless Error Models for Bluetooth Networks
Data transmission over wireless networks is challenging due to the occurrence of burst errors, and packet loss caused by such errors seriously limits the maximum achievable throug...
Hao-Hsiang Hung, Ling-Jyh Chen
CVPR
2011
IEEE
13 years 3 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
13 years 2 months ago
Time-synchronization in mobile sensor networks from difference measurements
We examine distributed time-synchronization in mobile ad-hoc and sensor networks. The problem is to estimate the skews and offsets of clocks of all the nodes with respect to an arb...
Chenda Liao, Prabir Barooah
BMCBI
2007
138views more  BMCBI 2007»
13 years 7 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...