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ICASSP
2008
IEEE
16 years 23 days 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»
15 years 6 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
15 years 6 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 8 months 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»
15 years 4 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