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» Practical Algorithms for Pattern Based Linear Regression
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ICASSP
2011
IEEE
12 years 11 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
ICIP
2003
IEEE
14 years 9 months ago
Sirface vs. Fisherface: recognition using class specific linear projection
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
Yangrong Ling, Xiangrong Yin, Suchendra M. Bhandar...
DBPL
2007
Springer
158views Database» more  DBPL 2007»
13 years 11 months ago
Efficient Algorithms for the Tree Homeomorphism Problem
Tree pattern matching is a fundamental problem that has a wide range of applications in Web data management, XML processing, and selective data dissemination. In this paper we deve...
Michaela Götz, Christoph Koch, Wim Martens
JUCS
2010
161views more  JUCS 2010»
13 years 5 months ago
Evaluating Linear XPath Expressions by Pattern-Matching Automata
: We consider the problem of efficiently evaluating a large number of XPath expressions, especially in the case when they define subscriber profiles for filtering of XML documen...
Panu Silvasti, Seppo Sippu, Eljas Soisalon-Soinine...
PR
2006
89views more  PR 2006»
13 years 7 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis