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» Reconstruction from Six-Point Sequences
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TSP
2010
14 years 4 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
CGF
2008
201views more  CGF 2008»
14 years 9 months ago
Fluid in Video: Augmenting Real Video with Simulated Fluids
We present a technique for coupling simulated fluid phenomena that interact with real dynamic scenes captured as a binocular video sequence. We first process the binocular video s...
Vivek Kwatra, Philippos Mordohai, Rahul Narain, Sa...
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 9 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
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BMCBI
2006
87views more  BMCBI 2006»
14 years 9 months ago
Phylogeny based discovery of regulatory elements
Background: Algorithms that locate evolutionarily conserved sequences have become powerful tools for finding functional DNA elements, including transcription factor binding sites;...
Jason Gertz, Justin C. Fay, Barak A. Cohen
NAACL
2003
14 years 11 months ago
Comma Restoration Using Constituency Information
Automatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility t...
Stuart M. Shieber, Xiaopeng Tao