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47 articles for “discriminant analysis”
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Research ArticleOpen accessIn the keywordsPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Effects of Power Usage on Five Power Modes in South Africa Using Multivariate TechniquesBusanga Jerome Kanyama, Solly Matshonisa SeeletseSouth Africa contends with the lack of access to secure affordable energy. This affects the country’s ability to provide reliable power to consumers. This paper investigates the source of energy ‘power mode’ such as electricity, gas, paraffin, solar and other (firewood and cow dung) and the effects of power usage in cooking, heating and lighting at household consumption level using … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 10 Jan 2018 · 8,284 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeasuring Predictors of Student Retention RatesAllen L. Webster, Vince E. ShowersProblem statement: Colleges and universities place more emphasis on student retention rates than ever before. Educational institutions are intensifying efforts to discourage student departure and preserve their established student base. Economic pressures that bear heavily on academic administration make such efforts highly critical for institutional success. Research on this vital issue is especially important due to the vigorous competition among … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 7 Apr 2011 · 7,254 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHeavy Metals Contamination of Road-Deposited SedimentsJonathan YisaProblem statement: Impact of anthropogenic activities on man and his environment as a result of the growing rate of urbanization in Bida, Nigeria is of a great concern. Street sediments that accumulate along pavements in urban environments have the potential to provide considerable loadings of heavy metals to receiving waters and water bodies, particularly with changing environmental conditions. The objective … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,308 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDiscrete Wavelet Transform Based Classification of Human Emotions Using Electroencephalogram SignalsMohamed RizonProblem statement: The aim of this study was to report the human emotion assessment using Electroencephalogram (EEG). Approach: An audio-visual induction based protocol was designed for inducing five different emotions (happy, surprise, fear, disgust and neutral) on 20 subjects in the age group of 19~39 years. EEG signals are recorded from 64 channels placed over entire scalp according to International … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLand Cover Change Detection Using Texture AnalysisXiaofeng Wu, Fen Yang, Roly LishmanProblem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,198 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Slope Assessment System in Predicting Landslides along Roads Underlain by Granitic FormationBujang B.K. Huat, S. JamaludinA slope assessment is to estimate the probability of occurrence and likely severity of landslides in a given area. This study evaluates two existing Slope Assessment Systems (SAS) for predicting landslide at the micro level of assessment developed by the Public Works Department of Malaysia, namely the Slope Information Management System (SIMS) and the Slope Management and Risk Tracking System … …American Journal of Environmental Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRetail Bankruptcy PredictionJohnny Pang, Mark KogelThis study reintroduces the famous discriminant functions from Edward Altman and Begley, Ming and Watts (BMW) that were used to predict bankrupts. We will formulate three new discriminant functions which differ from Altman’s and BMW’s re-estimated Altman model. Altman’s models as well as Begley, Ming and Watts’s re-estimated Altman model apply to publicly traded industries, whereas the new models formulated … …American Journal of Economics and Business Administration, Vol. 5, Issue 1 · 13 Sep 2013 · 7,472 accessesView PDFCite