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» Robust Classification with Context-Sensitive Features
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ESANN
2008
13 years 6 months ago
Classification of chestnuts with feature selection by noise resilient classifiers
In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
Elena Roglia, Rossella Cancelliere, Rosa Meo
ICML
2004
IEEE
14 years 6 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
IJCV
2002
84views more  IJCV 2002»
13 years 5 months ago
Algorithmic Fusion for More Robust Feature Tracking
We present a framework for merging the results of independent featurebased motion trackers using a classification based approach. We demonstrate the efficacy of the framework usin...
Brendan McCane, Ben Galvin, Kevin Novins
ICPR
2010
IEEE
13 years 3 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
TASLP
2008
131views more  TASLP 2008»
13 years 5 months ago
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification
In this paper, we investigate the noise robustness of Wang and Shamma's early auditory (EA) model for the calculation of an auditory spectrum in audio classification applicati...
Wei Chu, B. Champagne