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135
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
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 ...
113
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DCC
2009
IEEE
16 years 4 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
DCC
2006
IEEE
16 years 3 months ago
2006
IEEE
Abstract. We propose measures for compressed data structures, in which space usage is measured in a data-aware manner. In particular, we consider the fundamental dictionary problem...
153
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CISS
2008
IEEE
15 years 10 months ago
2008
IEEE
—Reliable wireless communications often requires accurate knowledge of the underlying multipath channel. This typically involves probing of the channel with a known training wave...
116
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ISCI
2007
15 years 4 months ago
2007
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...