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CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 12 months ago
A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting
Compressed Counting (CC) was recently proposed for approximating the th frequency moments of data streams, for 0 < 2. Under the relaxed strict-Turnstile model, CC dramaticall...
Ping Li
ADT
2005
14 years 11 months ago
High rate compression of CAD meshes based on subdivision inversion
In this paper we present a new framework, based on subdivision surface approximation, for efficient compression and coding of 3D models represented by polygonal meshes. Our algorit...
Guillaume Lavoué, Florent Dupont, Atilla Ba...
CORR
2008
Springer
234views Education» more  CORR 2008»
14 years 12 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
ICIP
2008
IEEE
15 years 6 months ago
Model-based compression of nonstationary landmark shape sequences
We have proposed a novel model-based compression technique for nonstationary landmark shape data extracted from video sequences. The main goal is to develop a technique for the co...
Samarjit Das, Namrata Vaswani
MOBISYS
2003
ACM
15 years 11 months ago
Energy Aware Lossless Data Compression
Wireless transmission of a bit can require over 1000 times more energy than a single 32-bit computation. It would therefore seem desirable to perform significant computation to re...
Kenneth C. Barr, Krste Asanovic