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» A Probabilistic Background Model for Tracking
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NIPS
2004
13 years 9 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
TREC
2003
13 years 9 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
RAS
2002
247views more  RAS 2002»
13 years 7 months ago
Reference scan matching for global self-localization
Especially in dynamic environments a key feature concerning the robustness of mobile robot navigation is the capability of global self-localization. This term denotes a robot'...
Joachim Weber, Lutz Franken, Klaus-Werner Jör...
CVPR
2011
IEEE
13 years 4 months ago
Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation
We present a markerless motion capture approach that reconstructs the skeletal motion and detailed time-varying surface geometry of two closely interacting people from multi-view ...
Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter...
INTERSPEECH
2010
13 years 2 months 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