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CSDA
2007
117views more  CSDA 2007»
13 years 7 months ago
Smoothing splines estimators in functional linear regression with errors-in-variables
The Total Least Squares method is generalized in the context of the functional linear model. A smoothing splines estimator of the functional coefficient of the model is first prop...
Hervé Cardot, Christophe Crambes, Alois Kne...

Publication
202views
15 years 4 months ago
Distance-based Speed Functions for Level Set Methods in Image Segmentation
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measure...
Karsten Rink and Klaus Tonnies
DSD
2009
IEEE
71views Hardware» more  DSD 2009»
13 years 11 months ago
Representation of Incompletely Specified Index Generation Functions Using Minimal Number of Compound Variables
This paper shows a method to reduce the number of input variables to represent incompletely specified index generation functions. A compound variable is generated by EXORing the o...
Tsutomu Sasao, Takaaki Nakamura, Munehiro Matsuura
EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Exchanging Iterated Expectations of Random Upper Semicontinuous Functions: an application to decision theory
In this paper we present a procedure to deal with a kind of single-stage decision problems with imprecise utilities. In this type of problems the product measurability of the utili...
Miguel López-Díaz, Luis J. Rodr&iacu...
DMSN
2004
ACM
14 years 1 months ago
Optimization of in-network data reduction
We consider the in-network computation of approximate “big picture” summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavele...
Joseph M. Hellerstein, Wei Wang