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» Learning By Observation Using Qualitative Spatial Relations
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AAAI
1990
13 years 8 months ago
Approximation Reformulations
Although computers are widely used to simulate complex physical systems, crafting the underlying models that enable computer analysis remains difficult. When a model is created fo...
Daniel S. Weld
WH
2010
151views Healthcare» more  WH 2010»
13 years 2 months ago
AndWellness: an open mobile system for activity and experience sampling
Advances in mobile phone technology have allowed phones to become a convenient platform for real-time assessment of a participants health and behavior. AndWellness, a personal dat...
John Hicks, Nithya Ramanathan, Donnie H. Kim, Moha...
ICASSP
2008
IEEE
14 years 2 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
JCNS
2010
90views more  JCNS 2010»
13 years 2 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
RIAO
2007
13 years 9 months ago
Discriminative Fields for Modeling Semantic Concepts in Video
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
Ming-yu Chen, Alexander G. Hauptmann