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ICASSP
2008
IEEE
15 years 4 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
INFORMATICALT
2006
109views more  INFORMATICALT 2006»
14 years 9 months ago
Discrimination of Homographs Distorted by a Lengthy Impulsive Noise
Abstract. The paper addresses the problem of discrimination of homographs when a lengthy segment of an uttered word is missing. The considered discrimination procedure is done by r...
Sarunas Paulikas, Dalius Navakauskas
SIGIR
2008
ACM
14 years 9 months ago
Measuring concept relatedness using language models
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or ...
Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, We...
AAAI
2012
13 years 6 days ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
TVCG
2010
186views more  TVCG 2010»
14 years 8 months ago
An Information-Theoretic Framework for Flow Visualization
—The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algori...
Lijie Xu, Teng-Yok Lee, Han-Wei Shen