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» Multiple Target Localization Using Compressive Sensing
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ICASSP
2010
IEEE
13 years 7 months ago
Statistical Resolution Limit for multiple parameters of interest and for multiple signals
The concept of Statistical Resolution Limit (SRL), which is defined as the minimal separation to resolve two closely spaced signals, is an important tool to quantify performance ...
Mohammed Nabil El Korso, Rémy Boyer, Alexan...
ICCV
2007
IEEE
14 years 9 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
TIT
2010
100views Education» more  TIT 2010»
13 years 2 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
ESANN
2000
13 years 8 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
LCPC
2000
Springer
13 years 11 months ago
Efficient Dynamic Local Enumeration for HPF
In translating HPF programs, a compiler has to generate local iteration and communication sets. Apart from local enumeration, local storage compression is an issue, because in HPF ...
Will Denissen, Henk J. Sips