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INFORMATICALT
1998
126views more  INFORMATICALT 1998»
15 years 4 months ago
On Local Bandwidth Selection for Density Estimation
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
Rimantas Rudzkis, Mindaugas Kavaliauskas
TIT
1998
77views more  TIT 1998»
15 years 4 months ago
Density Estimation from an Individual Numerical Sequence
— This paper considers estimation of a univariate density from an individual numerical sequence. It is assumed that 1) the limiting relative frequencies of the numerical sequence...
Andrew B. Nobel, Gusztáv Morvai, Sanjeev R....
ICDAR
2009
IEEE
15 years 2 months ago
Bayesian Similarity Model Estimation for Approximate Recognized Text Search
Approximate text search is a basic technique to handle recognized text that contains recognition errors. This paper proposes an approximate string search for recognized text using...
Atsuhiro Takasu
CORR
2011
Springer
148views Education» more  CORR 2011»
14 years 11 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
ICASSP
2011
IEEE
14 years 8 months ago
A sparse covariance-based method for direction of arrival estimation
In this paper we present a new sparse iterative covariance-based estimation approach, called SPICE, to the direction of arrival estimation problem. SPICE is obtained by the minimi...
Petre Stoica, Prabhu Babu, Jian Li