discriminant-based pattern classification
Assessing Malaria using Neutral Zone Classifiers with Mixture Discriminant Analysis on 2D Images of Red Blood Cells
... and classification can be done using either a supervised or an unsupervised classification ...supervised classification (discriminant analysis), patterns in the input are identified as members ...
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Subclass Discriminant Analysis of Morphological and Textural Features for HEp-2 Staining Pattern Classification
... is based on a stability criterion described in ...is based on a leave-one-object ...is based on a stratified 5-fold cross validation of the training set and on the accuracies obtained with a k ...
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NEW APPROACH IN COLOR DISTORTION REDUCTION IN UNDERWATER CORAL REEF COLOR IMAGE ENHANCEMENT BASED ON ESTIMATION ABSORPTION USING EXPONENTIAL EQUATION
... collaborative discriminant regression classification for face recognition using Local Binary Pattern (KLCDRC-LBP) to learn a discriminative binary face descriptor in the data- driven ...Binary ...
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Pattern based Dimensionality Reduction Model for Age Classification
... classifier based on two phases using LDA (Linear Discriminant Analysis) and 2D-LDA to classify ...respective classification rates for each range were ...
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Classification of Audio Signal Using Local Discriminant Bases
... Audio classification has been becoming a focus in the research of audio processing and pattern ...audio classification is very useful to audio indexing, content-based audio retrieval and ...
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AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION
... Brain Computer Interface (BCI) systems are basically designed to translate imagery thoughts into meaningful commands in the form of curser movement or activate an electric device [1]. An optimistic vision to the future ...
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Finger Vein Detection using Repeated Line Tracking, Even Gabor and Multilinear Discriminant Analysis (MDA)
... image classification is to automatically categorize all pixels in an image into land cover classes or ...reducing pattern matching cost. In Proposed work classifier based on discriminant ...
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Texture classification using discriminant wavelet packet subbands
... general pattern recognition para- digm achieves this task in two stages: feature extraction and ...texture classification problem: (1) Can a few features associated with wavelet packet sub- bands be ...
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Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis
... linear discriminant analysis, partial least squares discriminant analysis, classification and regression trees and multivariate curve resolution with alternating least squares were applied to reveal ...
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Discriminant Analysis for Human Arm Motion Prediction and Classifying
... a pattern recognition system based on Linear Discriminant Analysis (LDA) algorithm for the classification of up- per arm motions; where this algorithm was mainly used in face recognition and ...
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Support Vector Machine based Classification into Groups using Discriminant Function
... It is clear that people with Alzheimer's disease lose brain cells at a higher than normal rate. However, straightforward cell loss cannot be used to diagnose the condition as brain cells are also lost in other types of ...
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Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data
... calculated based on the incorrectness of the classification of each testing ...method based on PAM as the feature gene method, 30 samples out of 100 sample test sets were incorrectly classified, ...
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Automated Recyclable Waste Classification using Multiple Shape based Properties and Quadratic Discriminant
... automated classification system using feature extraction and classification techniques which classifies polyethylene terephthalate (PET) and non- PET plastic bottles based on their ...Linear ...
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STUDY ON ENERGY ANALYSIS OF HOPFIELD NETWORK
... learned based on the similarity of patterns (in unsupervised ...of pattern recognition has been renewed recently due to emerging applications which are not only challenging but also computationally more ...
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A Comparison among Classification Accuracy of Neural Network, FLDA and BLDA in P300 based BCI System
... for disabled subjects. However the average communication speed obtained in their study was relatively low when compared to state of the art systems, as for example the systems described by Kaper et al. (2004), Thulasidas ...
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Review of EEG-based pattern classification frameworks for dyslexia
... Mohd Fairuz Shiratuddin is a Senior Lecturer in the School of Engineering and Information Technology. In his early careers, he was trained as an engineer mainly dealing with computers and its applications in the United ...
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Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy
... The discrimination results obtained by ATR-FTIR are shown in Table 2. Discrimination between samples was a little less pronounced than that by E-nose. Four samples were misclassified, which resulted in a correct ...
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Aspects of multi-class nearest hypersphere classification
... the classification performance of NHC to that of SMVC, random forests and penalised ...the classification technique and is used before any model is ...the classification technique and finds the ...
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AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING
... term, pattern, concept, paragraph, sentence, and ...term based and pattern based ...effectively pattern or word discover from ...
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Classification of DDOS Attacks in VANETS based on Distributive Collaborative Framework
... appeared based on different features in vehicular network ...feature based approaches were introduced can handle relevant features relates to detection of DDOS attacks in cases of vehicular network ...
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