Book ChapterDOI
Feature Selection in Pattern Recognition
N. U. Ahmed,K. R. Rao +1 more
- pp 225-258
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TLDR
The subject of pattern recognition can be divided into two main areas of study: feature selection and classifier design, as summarized in Fig. 10.1.Abstract:
The subject of pattern recognition can be divided into two main areas of study: (1) feature selection and (2) classifier design, as summarized in Fig. 10.1. x(t) is a signal that belongs to K classes denoted by C 1 , C 2 ,..., C K .read more
Citations
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Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features
Pantelis Georgiadis,Dionisis Cavouras,Ioannis Kalatzis,Antonis Daskalakis,George C. Kagadis,Koralia Sifaki,Menelaos Malamas,George Nikiforidis,Ekaterini Solomou +8 more
TL;DR: The proposed classifier is a modified probabilistic neural network (PNN), incorporating a non-linear least squares features transformation (LSFT) into the PNN classifier, improved PNN performance, increased class separability and resulted in dimensionality reduction.
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Design and implementation of an SVM-based computer classification system for discriminating depressive patients from healthy controls using the P600 component of ERP signals
Ioannis Kalatzis,N. Piliouras,Eric Ventouras,Charalabos Papageorgiou,Andreas D. Rabavilas,Dionisis Cavouras +5 more
TL;DR: The hypothesis that depression is associated with dysfunction of right hemisphere mechanisms mediating the processing of information that assigns a specific response to a specific stimulus is supported, as those mechanisms are reflected by the P600 component of ERPs.
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Image analysis methods for solitary pulmonary nodule characterization by computed tomography
TL;DR: Computer software was designed for classifying solitary pulmonary nodules (SPNs) into benign and malignant from their CT images, using image analysis methods, and made use of three features, computed from the CT density matrix of the SPN, and a class-discriminating algorithm.
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Pattern-recognition analysis of sound radiation in metal cutting
TL;DR: In this paper, a round bar of heat-treated AISI 4340 steel was machined in cylindrical turning, using a titanium-carbide-coated cutting tool.
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Support vector machines based analysis of brain SPECT images for determining cerebral abnormalities in asymptomatic diabetic patients
TL;DR: Findings indicate cerebral blood flow disruption in patients with diabetes mellitus type II undergoing brain SPECT, and the proposed system may assist physicians in evaluating cerebralBlood flow in patientswith DMII undergoingbrain SPECT.
References
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Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
Journal ArticleDOI
Introduction to Mathematical Techniques in Pattern Recognition
Journal ArticleDOI
Multidimensional Rotations in Feature Selection
TL;DR: A character recognition experiment is selected for exemplary purposes and the use of features in the rotated spaces results in effective minimum distance classification.
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