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» A distributed machine learning framework
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NIPS
2000
15 years 3 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
TMI
2008
138views more  TMI 2008»
15 years 2 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
119
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CEAS
2005
Springer
15 years 8 months ago
Email Task Management: An Iterative Relational Learning Approach
Today’s email clients were designed for yesterday’s email. Originally, email was merely a communication medium. Today, people engage in a variety of complex behaviours using e...
Rinat Khoussainov, Nicholas Kushmerick
KI
2007
Springer
15 years 2 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
107
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ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
15 years 9 months ago
Learning sound location from a single microphone
Abstract— We consider the problem of estimating the incident angle of a sound, using only a single microphone. The ability to perform monaural (single-ear) localization is import...
Ashutosh Saxena, Andrew Y. Ng