Global ETD Search
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Showing 1 to 8 of 8 for “"Fisher linear discriminant"”.
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In silico prediction of non-coding RNAs using supervised learning and feature ranking methods
… to construct classification models: Naive Bayes, Fisher Linear Discriminant, and Support Vector Machine (SVM). These models are compared to the performance of the same models with a baseline feature set and with an existing classification tool, RNAz. The Support Vector Machine classification model …
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Detection of prostate cancer using multi-parametric magnetic resonance
… classifiers: support vector machine (SVM) and fisher linear discriminant(FLD), utilized 5 different sets of derived features. Each classifer generated a summary statistical map that indicated tumor likelihood in the peripheral zone(PZ) of the gland. To assess classifier accuracy, the average …
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Facial analysis in video : detection and recognition
… implementing genetic algorithms (GAs) and the Fisher linear discriminant (FLD) is designed to derive the optimal discriminating features that lead to an effective image representation for face recognition. This method noticeably improves FRGC ver1.0 Experiment 4 baseline recognition rate from …
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Digital image analysis of HL-60 proliferation and granulocytic differentiation.
… verified the greater synchrony achieved by TB. Fisher linear discriminant analysis using chromatin textural features was used to distinguish G₁ from S and G₂ phase cells. Evaluation of biological descriptors over a 7 day period demonstrated less proliferation and increased differentiation for …
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Chemical Differentiation of Human Osseous, Non-human Osseous, and Non-osseous Materials Using Scanning Electron Microscopy - Energy Dispersive X-ray Spectrometry (SEM/EDX) and Multivariate Statistical Analysis
… for Statistical Computing using PCA and Fisher Linear Discriminant Analysis. A two-tiered analysis was undertaken to improve discrimination between sample groups. The first tier involved distinguishing between osseous and non-osseous materials. After outliers were removed overall correct …
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Eye detection using discriminatory features and an efficient support vector machine
… methods for eye detection. The first DFE method, discriminant component analysis (DCA), improves upon the popular principal component analysis (PCA) method. The PCA method can derive the optimal features for data representation but not for classification. In contrast, the DCA method, which applies …
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Αναγνώριση ψυχοσωματικής κατάστασης προσώπου με τη χρήση θερμικής υπέρυθρης ακτινοβολίας
… στο πρόσωπο των εθελοντών. Μέσω εφαρμογής της Fisher Linear Discriminant Analysis μειώθηκε ο χώρος των χαρακτηριστικών από είκοσι σε δύο διαστάσεις. Ο χώρος των χαρακτηριστικών εύκολα διαχωρίζεται σε δυο περιοχές, την "νηφάλια" και την "μεθυσμένη". Στο κεφάλαιο 5, μελετήθηκαν οι θερμοκρασιακές …
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PMU-Based Applications for Improved Monitoring and Protection of Power Systems
… system operation can be realized. A PMU-only linear state estimator is intrinsically superior to its predecessors with respect to performance and reliability. However, ensuring quality of the data stream that leaves this estimator is crucial. A methodology for performing synchrophasor data …