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CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 10 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
BMCBI
2006
119views more  BMCBI 2006»
13 years 10 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
TC
2011
13 years 4 months ago
An Architecture for Fault-Tolerant Computation with Stochastic Logic
—Mounting concerns over variability, defects and noise motivate a new approach for digital circuitry: stochastic logic, that is to say, logic that operates on probabilistic signa...
Weikang Qian, Xin Li, Marc D. Riedel, Kia Bazargan...
IJSI
2008
91views more  IJSI 2008»
13 years 10 months ago
Random Event Structures
Abstract In a line of recent development, probabilistic constructions of universal, homogeneous objects have been provided in various categories of ordered structures, such as caus...
Manfred Droste, Guo-Qiang Zhang
LREC
2008
125views Education» more  LREC 2008»
13 years 11 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger