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» An optical flow probabilistic observation model for tracking
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ECCV
2004
Springer
14 years 7 months ago
The Least-Squares Error for Structure from Infinitesimal Motion
We analyze the least?squares error for structure from motion with a single infinitesimal motion ("structure from optical flow"). We present asymptotic approximations to ...
John Oliensis
TOG
2008
235views more  TOG 2008»
13 years 5 months ago
Articulated mesh animation from multi-view silhouettes
Details in mesh animations are difficult to generate but they have great impact on visual quality. In this work, we demonstrate a practical software system for capturing such deta...
Daniel Vlasic, Ilya Baran, Wojciech Matusik, Jovan...
NIPS
2004
13 years 6 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
INTERSPEECH
2010
13 years 2 days ago
SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
Wei Chu, Abeer Alwan
BMCBI
2007
153views more  BMCBI 2007»
13 years 5 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...