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CSDA
2007
117views more  CSDA 2007»
14 years 10 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
16 years 6 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»
15 years 1 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»
14 years 7 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
15 years 3 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