Discriminate analysis
Stream Data Classification Using Improved Fisher Discriminate Analysis
... Abstract —A modified Fisher discriminate analysis method for classifying stream data is presented. To satisfy the real- time demand in classifying stream data, this method defines a new criterion for Fisher ...
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Comparative Study on PCA, LDA and their Fusion
... image analysis and ...component analysis(PCA) and linear discriminate ...Linear discriminate analysis which is also called fisherface is an appearance based technique used for ...
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Classification of Myoelectric Signal using Spectrogram Based Window Selection
... Linear discriminate analysis (LDA) is a well-established machine learning algorithm that gives robust ...of discriminate function based on training data ...
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ENHANCE INTRUSION DETECTION CAPABILITIES VIA WEIGHTED CHI SQUARE, DISCRETIZATION AND SVM
... component analysis algorithm and (LDA) the linear discriminate analysis algorithm, in addition, we built the server using Java language to implement the android application, also we compare the ...
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An Invention Approach to 3D Face Recognition using Combination of 2D Texture Data and 3D Shape Data
... Face recognition is one of the biometric methods, to identify given face using main feature of face. The 3D face recognition approach handles the challenges of 2D face recognition such as pose, illumination, expression ...
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Vol 7, No 9 (2017)
... Ingeneral, seven features commonly use dtodescribethepropertiesoftheimagehistogram, and thereforeimagetexture, arecomputed. Theseare:mean; variance;coarseness;skewness;kurtosis; energy; andentropy.These textural features ...
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ENERGY AWARE GRID RESOURCE ALLOCATION BY USING A NOVEL NEGOTIATION MODEL
... The face recognition method is classified into two: Holistic matching method and local matching method. The entire face image is considered for the holistic matching method. This is based on Principle component ...
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SIGNIFICANCE AND USAGE OF FACE RECOGNITION SYSTEM
... Face recognition is one of the most challenging aspects in the field of image analysis. Face recognition has been a topic of active research since the 1980’s, proposing solutions to several practical problems. ...
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A STUDY OF FACE RECOGNITION TECHNIQUES
... Component Analysis (PCA), Linear Discriminate Analysis (LDA), Independent Component Analysis (ICA), Elastic Bunch Graph Matching (EBGM), Line Edge Map (LEM), Support Vector Machine (SVM), Self ...
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Monitoring the occurrence of frost through an analysis of air masses in south west basins of Iran
... of discriminate function nature, are calculated to recognize the group to which the observations (days) ...selected, discriminate analysis develops classification functions, which in turn are used to ...
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Vol 7, No 7 (2017)
... ISSN(E): 2277-128X, ISSN(P): 2277-6451, DOI: 10.23956/ijarcsse/V7I7/01701, pp. 8-12 Table (1) show classification score matrixgenerated by linear discriminate analysis andthe overall classification ...
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Predicting National Basketball Association Game Attendance Using Random Forests
... This counterintuitive strategy turns out to perform very well compared to many other classifiers, including discriminate analysis, support vector machines, and neural networks(Liaw & Wiener, 2002).The ...
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3 essays on technological change and welfare
... welfare analysis, based on a more "economically sound" comparison of the market outcome with the socially optimal level of investment, shows that a laissez faire competition law is socially preferable ...
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Discriminating Between Explosions and Earthquakes by the SDFA Method
... It is proposed that utilizing Hurst estimator by SDFA method, like an additional classification tool to discriminate between explosions and natural earthquakes, where if H > 0.4 then {X} is a seismic trace ...
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An Analysis of Improving Energy use with Data Envelopment Analysis in Apple Orchard
... inefficiency is not very useful from a managerial point of view, unless one can determine whether a DMU is operating in a region where DRS (decreasing returns to scale) or IRS (increasing returns to scale) returns to ...
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A comparison of Olpidium isolates from a range of host plants using internal transcribed spacer sequence analysis and host range studies
... programs DNADIST, DNAPARS (Felsenstein 1995) and fastDNAML (Olsen et al. 1994). NJPlot (Perrière & Gouy 1996) was used to visualise phylogenetic trees. The sequence of Rhizopus oryzae (GQ220706) was used as an ...
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Assessment of Hepatitis C Virus Sequence Complexity by Electrophoretic Mobilities of Both Single and Double Stranded DNAs
... Diagnostic Systems, Raritan, N.J.) as previously described (45). Individuals were identified as seroconverters when a sample tested positive following at least one negative result. Positive results were supplemented by a ...
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Poisson-like fluctuation patterns of revertants of leucine auxotrophy (leu-500) in Salmonella typhimurium caused by delay in mutant cell division.
... F LUCTUATION analysis is used to discriminate be- tween spontaneous mutations occurring randomly during replication of bacteria in non-selective condi- tions (pre-plati[r] ...
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Use of computerized CT analysis to discriminate between Alzheimer patients and normal control subjects
... For model 2, the model that focused on ventricular and supraventricular regions, the discriminant function analysis selected two variables: the area of the third ventricle on slice 3 and[r] ...
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Application of sentiment analysis : assessing the reliability and validity of the global airlines rating program
... Available data is checked for some statistical assumptions at first place. Both texts extracted from Skytrax and Twitter can be assumed to be independent since they have been posted by various writers with different ...
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