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IWANN
2001
Springer
15 years 11 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
ICASSP
2007
IEEE
15 years 10 months ago
Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques
Motion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exh...
Iván González-Díaz, Manuel de...
ICASSP
2010
IEEE
15 years 6 months ago
Distributed Lasso for in-network linear regression
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
ICASSP
2009
IEEE
15 years 4 months ago
Robust joint localization and time synchronization in wireless sensor networks with bounded anchor uncertainties
A unified framework to jointly solve the two problems of localization and synchronization at the same time is presented in this paper. The joint approach is attractive because it ...
Jun Zheng, Yik-Chung Wu
JMLR
2010
145views more  JMLR 2010»
15 years 1 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer