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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CVPR
2012
IEEE
13 years 9 months ago
Spatial bias in multi-atlas based segmentation
Multi-atlas segmentation has been widely applied in medical image analysis. With deformable registration, this technique realizes label transfer from pre-labeled atlases to unknow...
Hongzhi Wang, Paul A. Yushkevich
ISQED
2007
IEEE
104views Hardware» more  ISQED 2007»
16 years 1 months ago
System Level Estimation of Interconnect Length in the Presence of IP Blocks
With the increasing size and sophistication of circuits and specifically in the presence of IP blocks, new wirelength estimation methods are needed in the design flow of large-sca...
Taraneh Taghavi, Ani Nahapetian, Majid Sarrafzadeh
TSP
2008
95views more  TSP 2008»
15 years 6 months ago
On the Description of Spectrogram Probabilities With a Chi-Squared Law
Abstract--Given a correlated Gaussian signal, may a chisquared law of probability always be used to describe a spectrogram coefficient distribution? If not, would a "chi-squar...
J. Huillery, F. Millioz, N. Martin
TIT
2002
121views more  TIT 2002»
15 years 6 months ago
Asymptotic normality of linear multiuser receiver outputs
This paper proves large-system asymptotic normality of the output of a family of linear multiuser receivers that can be arbitrarily well approximated by polynomial receivers. This ...
Dongning Guo, Sergio Verdú, Lars K. Rasmuss...