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TSP
2010
13 years 4 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ICC
2009
IEEE
176views Communications» more  ICC 2009»
14 years 4 months ago
Error Resilient Non-Asymmetric Slepian-Wolf Coding
Abstract—We consider non-asymmetric distributed source coding (DSC) that achieves any point in the Slepian-Wolf (SW) region. We study the error propagation phenomena and propose ...
Cédric Herzet, Velotiaray Toto-Zarasoa, Ali...
CGF
2006
183views more  CGF 2006»
13 years 10 months ago
Data-driven Local Coordinate Systems for Image-Based Rendering
Image-based representations of an object profit from known geometry. The more accurate this geometry is known, the better corresponding pixels in the different images can be align...
Gero Müller, Ralf Sarlette, Reinhard Klein
SIGIR
2011
ACM
13 years 26 days ago
Inverted indexes for phrases and strings
Inverted indexes are the most fundamental and widely used data structures in information retrieval. For each unique word occurring in a document collection, the inverted index sto...
Manish Patil, Sharma V. Thankachan, Rahul Shah, Wi...
ICPR
2004
IEEE
14 years 11 months ago
Estimation of Arbitrary Camera Motion in MPEG Videos
Several algorithms have been proposed to solve the problem of camera motion estimation in digital videos. However, the distinction between translation along the xaxis (y-axis) and...
Ralph Ewerth, Martin Schwalb, Paul Tessmann, Bernd...