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IJON
2007
114views more  IJON 2007»
15 years 2 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
CMA
2010
196views more  CMA 2010»
14 years 12 months ago
Numerical analysis of Leray-Tikhonov deconvolution models of fluid motion
This report develops and studies a new family of NSE-regularizations, Tikhonov Leray Regularization with Time Relaxation Models. This new family of turbulence models is based on a...
Iuliana Stanculescu, Carolina C. Manica
JMLR
2010
125views more  JMLR 2010»
14 years 9 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
TIP
2010
163views more  TIP 2010»
14 years 9 months ago
Fast Image Recovery Using Variable Splitting and Constrained Optimization
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which consists of an unconstrained optimization problem where t...
Manya V. Afonso, José M. Bioucas-Dias, M&aa...
SPIRE
2005
Springer
15 years 8 months ago
Counting Lumps in Word Space: Density as a Measure of Corpus Homogeneity
This paper introduces a measure of corpus homogeneity that indicates the amount of topical dispersion in a corpus. The measure is based on the density of neighborhoods in semantic ...
Magnus Sahlgren, Jussi Karlgren