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PARA
2004
Springer
15 years 11 months ago
New Algorithms for Statistical Analysis of Interval Data
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
Gang Xiang, Scott A. Starks, Vladik Kreinovich, Lu...
RECOMB
2009
Springer
16 years 1 months ago
Pseudo Boolean Programming for Partially Ordered Genomes
Comparing genomes of different species is a crucial problem in comparative genomics. Different measures have been proposed to compare two genomes: number of common intervals, num...
Sébastien Angibaud, Guillaume Fertin, Annel...
ECCC
2006
87views more  ECCC 2006»
15 years 6 months ago
The Learnability of Quantum States
Traditional quantum state tomography requires a number of measurements that grows exponentially with the number of qubits n. But using ideas from computational learning theory, we...
Scott Aaronson
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 6 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
TASE
2008
IEEE
15 years 6 months ago
Sensor Selection in Arbitrary Dimensions
We address the sensor selection problem which arises in tracking and localization applications. In sensor selection, the goal is to select a small number of sensors whose measureme...
Volkan Isler, Malik Magdon-Ismail