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» Testing Finitary Probabilistic Processes
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ICIP
2005
IEEE
14 years 9 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
ICASSP
2008
IEEE
14 years 1 months ago
Modeling regulatory sites with higher order position-dependent weight matrices
Identification of regulatory signals in DNA depends on the nature and quality of the patterns of representative sequences. These patterns are constructed from training sets of se...
Hossein Zare, Mostafa Kaveh, Arkady B. Khodursky
DAGM
2004
Springer
14 years 23 days ago
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
Benjamin Deutsch, Matthias Zobel, Joachim Denzler,...
ICASSP
2011
IEEE
12 years 11 months ago
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
Pavel Matejka, Ondrej Glembek, Fabio Castaldo, M. ...
WSC
2004
13 years 8 months ago
Visual Modeling of Business Problems: Workflow and Patterns
Computer-based business analysis relies on models, or algorithmic representations of the business process. Real-life business problems can become very complex, which creates diffi...
Lev Virine, Jason McVean