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» Robust Induction of Process Models from Time-Series Data
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EACL
2006
ACL Anthology
13 years 8 months ago
Edit Machines for Robust Multimodal Language Processing
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...
Srinivas Bangalore, Michael Johnston
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
BMCBI
2006
82views more  BMCBI 2006»
13 years 7 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...
SIGKDD
2010
259views more  SIGKDD 2010»
13 years 2 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
CGF
2008
151views more  CGF 2008»
13 years 7 months ago
Reconstructing head models from photographs for individualized 3D-audio processing
Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can provide extremely...
Matteo Dellepiane, Nico Pietroni, Tsingos Tsingos,...