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TCSV
2008
87views more  TCSV 2008»
15 years 2 months ago
On Iterative Regularization and Its Application
Many existing techniques for image restoration can be expressed in terms of minimizing a particular cost function. Iterative regularization methods are a novel variation on this th...
Michael R. Charest, Peyman Milanfar
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
14 years 9 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
122
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BMCBI
2010
208views more  BMCBI 2010»
15 years 2 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
JMLR
2010
135views more  JMLR 2010»
15 years 25 days ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
109
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RECSYS
2009
ACM
15 years 9 months ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin