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TSP
2008
101views more  TSP 2008»
13 years 9 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
JSAC
2007
97views more  JSAC 2007»
13 years 9 months ago
R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming
— In information theory, it has been shown that network coding can effectively improve the throughput of multicast communication sessions in directed acyclic graphs. More practic...
Mea Wang, Baochun Li
JOC
2000
181views more  JOC 2000»
13 years 9 months ago
Security Arguments for Digital Signatures and Blind Signatures
Abstract. Since the appearance of public-key cryptography in the seminal DiffieHellman paper, many new schemes have been proposed and many have been broken. Thus, the simple fact t...
David Pointcheval, Jacques Stern
JMLR
2002
111views more  JMLR 2002»
13 years 9 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JCB
1998
129views more  JCB 1998»
13 years 9 months ago
A Sticker-Based Model for DNA Computation
We introduce a new model of molecular computation that we call the sticker model. Like many previous proposals it makes use of DNA strands as the physical substrate in which infor...
Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nic...