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» Variable selection using neural-network models
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IJON
2002
84views more  IJON 2002»
14 years 9 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
TIP
2011
114views more  TIP 2011»
14 years 4 months ago
Constrained Acquisition of Ink Spreading Curves From Printed Color Images
— Today’s spectral reflection prediction models are able to predict the reflection spectra of printed color images with an accuracy as high as the reproduction variability allo...
Thomas Bugnon, Roger D. Hersch
AAAI
2007
15 years 1 days ago
Turning Lectures into Comic Books Using Linguistically Salient Gestures
Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and difï¬...
Jacob Eisenstein, Regina Barzilay, Randall Davis
TELETRAFFIC
2007
Springer
15 years 3 months ago
A Delay Based Multipath Optimal Route Analysis for Multi-hop CSMA/CA Wireless Mesh Networks
In this paper we present a method for determining optimal routes along selected paths in a wireless mesh network based on an interference aware delay analysis. We develop an analyt...
Jiazhen Zhou, Kenneth Mitchell
ECCV
2000
Springer
15 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona