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» Minimization of an M-convex Function
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ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 11 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
TNN
2010
216views Management» more  TNN 2010»
15 years 5 days ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
CIMAGING
2010
165views Hardware» more  CIMAGING 2010»
15 years 5 months ago
Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitud...
Chrysanthe Preza, Joseph A. O'Sullivan
ICIP
2005
IEEE
16 years 7 months ago
Finding the global minimum for binary image restoration
Restoring binary images is a problem which arises in various application fields. In our paper, this problem is considered in a variational framework: the sought-after solution min...
Tony F. Chan, Selim Esedoglu, Mila Nikolova
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
16 years 6 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...