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CORR
2011
Springer
148views Education» more  CORR 2011»
12 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
HAPTICS
2003
IEEE
13 years 10 months ago
How Well Can We Encode Spatial Layout from Sparse Kinesthetic Contact?
We investigated people’s ability to report the shape and scale of a spatial layout after sparse contact, without vision. We propose that the initial representation of sparsely c...
Roberta L. Klatzky, Susan J. Lederman
ICIP
2004
IEEE
14 years 6 months ago
Estimating facial pose from a sparse representation
We present an approach to estimate the poses of human heads in natural scenes. The essential features for estimating the head pose are the positions of the prominent facial featur...
Hankyu Moon, M. L. Miller
NIPS
2008
13 years 6 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
ICASSP
2010
IEEE
13 years 4 months ago
On unbiased estimation of sparse vectors corrupted by Gaussian noise
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the difï¬...
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch, Y...