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» Combining Simple Models to Approximate Complex Dynamics
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ATAL
2008
Springer
13 years 9 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
ICIP
2007
IEEE
14 years 1 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...
TCOM
2010
110views more  TCOM 2010»
13 years 6 months ago
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
—This paper deals with the case of a high speed mobile receiver operating in an orthogonal-frequency-divisionmultiplexing (OFDM) communication system. Assuming the knowledge of d...
Hussein Hijazi, Laurent Ros
CVPR
2004
IEEE
14 years 9 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 28 days ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...