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» Monte Carlo Localization with Mixture Proposal Distribution
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CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 9 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 10 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
14 years 1 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...
IAJIT
2010
174views more  IAJIT 2010»
13 years 6 months ago
Brightness preserving image contrast enhancement using weighted mixture of global and local transformation functions
: Transformation functions utilizing the global information content of an input image have been long serving contrast enhancement by stretching the dynamic range of intensity level...
Md. Hasanul Kabir, Mohammad Abdullah-Al-Wadud, Oks...
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach