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» Computational Experience with the Batch Means Method
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ICASSP
2010
IEEE
13 years 5 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
BMCBI
2010
125views more  BMCBI 2010»
13 years 5 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
INFOCOM
2010
IEEE
13 years 3 months ago
Metrics for Evaluating Video Streaming Quality in Lossy IEEE 802.11 Wireless Networks
—Peak Signal-to-Noise Ratio (PSNR) is the simplest and the most widely used video quality evaluation methodology. However, traditional PSNR calculations do not take the packet lo...
An Chan, Kai Zeng, Prasant Mohapatra, Sung-Ju Lee,...
SIGIR
2012
ACM
11 years 7 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet