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» Feature Extraction Using ICA
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INTERSPEECH
2010
13 years 3 months ago
Hierarchical bottle neck features for LVCSR
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
Christian Plahl, Ralf Schlüter, Hermann Ney
SAC
2005
ACM
14 years 2 months ago
Handwritten character skeletonisation for forensic document analysis
A new method of skeletonisation (stroke extraction) of handwritten character images is presented. The method has been designed to extract the skeleton which is very close to human...
Vladimir Pervouchine, Graham Leedham, Konstantin M...
WWW
2011
ACM
13 years 3 months ago
Web information extraction using Markov logic networks
In this paper, we consider the problem of extracting structured data from web pages taking into account both the content of individual attributes as well as the structure of pages...
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan S...
IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
14 years 3 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
RAS
2006
151views more  RAS 2006»
13 years 9 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...