1974 search results - page 72 / 395 » On Unbiased Linear Approximations |
137
Voted
SIAMIS
2011
14 years 7 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
101
Voted
NECO
2007
15 years 4 days ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
126
Voted
AUTOMATICA
2008
15 years 23 days ago
2008
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
122
Voted
AAAI
2006
15 years 2 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
75
Voted
TIT
2002
15 years 8 days ago
2002
This paper provides a mathematical analysis of transform compression in its relationship to linear and nonlinear approximation theory. Contrasting linear and nonlinear approximatio...