104 search results - page 14 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
ICDM
2002
IEEE
13 years 11 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
APWEB
2003
Springer
13 years 10 months ago
2003
Springer
People display regularities in almost everything they do. This paper proposes characteristics of an idealized algorithm that would allow an automatic extraction of web user profil ...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
NIPS
2008
13 years 8 months ago
2008
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...