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» Unsupervised feature selection using a neuro-fuzzy approach
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LCN
2005
IEEE
15 years 5 months ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
CVPR
2006
IEEE
16 years 1 months ago
Local Features, All Grown Up
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Andrea Vedaldi, Stefano Soatto
NIPS
2008
15 years 1 months ago
Spike Feature Extraction Using Informative Samples
This paper presents a new spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has...
Zhi Yang, Qi Zhao, Wentai Liu
PAA
2008
14 years 11 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
TIFS
2008
113views more  TIFS 2008»
14 years 11 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du