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» On Multiple Linear Approximations
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ICASSP
2011
IEEE
14 years 3 months ago
Interpolation based on stationary and adaptive AR(1) modeling
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discrete random signals. We explicitly derive the interpolation filter for a firs...
Eija Johansson, Marie Strom, Mats Viberg, Lennart ...
ESA
2011
Springer
252views Algorithms» more  ESA 2011»
13 years 11 months ago
Ray-Shooting Depth: Computing Statistical Data Depth of Point Sets in the Plane
Over the past several decades, many combinatorial measures have been devised for capturing the statistical data depth of a set of n points in R2 . These include Tukey depth [15], O...
Nabil H. Mustafa, Saurabh Ray, Mudassir Shabbir
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 7 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick
ICIP
2000
IEEE
16 years 1 months ago
Cancellation of Show-Through in Duplex Scanning
When scanning a page with printing on both sides, the printing on the back-side often shows through in the scan of the front-side because the page is not completely opaque. This p...
Gaurav Sharma
ICML
2009
IEEE
16 years 16 days ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...