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CORR
2011
Springer
259views Education» more  CORR 2011»
14 years 6 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 3 days ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
SIGMOD
2008
ACM
89views Database» more  SIGMOD 2008»
15 years 12 months ago
Towards identity anonymization on graphs
The proliferation of network data in various application domains has raised privacy concerns for the individuals involved. Recent studies show that simply removing the identities ...
Kun Liu, Evimaria Terzi
WSE
2002
IEEE
15 years 4 months ago
Laying the Foundation for Web Services over Legacy Systems
As the use of the World Wide Web becomes more pervasive within our society, businesses and institutions are required to migrate a wide range of services to the web. Difficulties a...
Janet Lavery, Cornelia Boldyreff, Bin Ling, Colin ...
EDM
2008
127views Data Mining» more  EDM 2008»
15 years 1 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...