Principle component analysis
Speech Enhancement in Wavelet Domain using Principle Component Analysis and Enhancement Filters
... The aim of speech enhancement is to improve the perceptual quality and intelligibility of the speech by reducing the background noise. This paper proposes a technique in wavelet domain to enhance the signal. The signal ...
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Anomaly network intrusion detection method in network security based on principle component analysis
... on Principle Component Analysis (PCA) for data reduction and classifier in ...preliminary analysis using a set of benchmark data from KDD (Knowledge Discovery and Data Mining) Competition ...
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A Comparative Study on using Principle Component Analysis with different Text Classifiers
... Principle component analysis (PCA) is one of the most popular sta- tistical technique for feature ...the principle components is less than or equal to the number of the original fea- ...
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Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... Spectral Principle Component Analysis (WSSPCA), was ...Then, principle Component Analysis (PCA) was utilized to reduce dimensionality of ...
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Efficient Image Recognition Technique Using Invariant Moments and Principle Component Analysis
... Image recognition is widely used in different application areas such as shape recognition, gesture recognition and eye recognition. In this research, we in- troduced image recognition using efficient invariant moments ...
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A Effective Disease Prediction Model Using Enhanced Principle Component Analysis And Mdrp Algorithm
... data analysis plays an important ...Enhanced Principle Component Analysis to improve the Disease prediction accuracy and to investigate the risk level of the ...
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Weighted Principle Component Analysis For Dimensionality Reduction In Medical Dataset
... simultaneously. Principle Component Analysis (PCA) is a standard technique for dimensionality reduction and has been applied to a large ...Principal Component Analysis is used to ...
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Celiac Disease Seen with the Eyes of the Principle Component Analysis and Analyse Des Données
... the principle component analysis (pca) and the Analyse des Données to further study the risk [7] [8] and therefore dietary transgression (Figure ...
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Motion Classification Using Proposed Principle Component Analysis Hybrid K Means Clustering
... 5) LDA and QDA: LDA is Linear Discriminant Analysis and QDA is Quadratic Discriminant Analysis. Data were classified using default LDA. Some data were misclassified by the LDA function with drawing X ...
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Metabolite Profiling and Principle Component Analysis of a Mangrove Plant Aegiceras Corniculatum L (Blanco)
... Metabolite profiling is an analytical method for relative quantitation of a number of metabolites from biological samples [1]. Commonly, these samples have been collected from a specific tissue or a part of a tissue of ...
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Detectability of T Wave Alternans in ECG Signal by Principle Component Analysis Method
... TWA analysis. It also propose a multilead analysis scheme for to improve the detection and estimation of TWA in the ECG and that to increase the clinical value of TWA as a risk ...
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Face Recognition using Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA)
... There are five steps involved in the system developed by Turk and Pentland. First, the system needs to be initialized by feeding it a set of training images of faces. This is used these to define the face space which is ...
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Sentimental Analysis of Tweets using Principle Component Analysis Technique
... Sentiment Analysis is the technique of identifying the validity of such tweets by analyzing hidden emotions in their tweets Sentiment Analysis is widely used to analyze emotions in Text, News, Figures and ...
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Face Recognition using Eigenvector and Principle Component Analysis
... In this paper eigenface based face recognition has been described. The eigenface approach for face recognition process is fast and simple which works well under constrained environment. It is one of the best practical ...
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File Security Using Principle Component Analysis Induced Facial Recognition
... IJEDR1502050 International Journal of Engineering Development and Research (www.ijedr.org) 270 training samples of the i th class, and each column of Xi is a training sample of the i th class. Suppose that there are c ...
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Licence Plate Recognition Using Feature Extraction and Principle Component Analysis
... It gives us great pleasure in presenting the preliminary project report on ‘License Plate Recognition using Feature Selection and Principal Component Analysis’. We would like to take this opportunity to ...
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Parallel Filtration Based on Principle Component Analysis and Nonlocal Image Processing
... principal component basis with a creation of global hierarchical principal component basis [13]; (3) while using a non-local processing algorithm [5, 14-16] implement it in a vector form [14-15], or, ...
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Relations and Trust: Themes, Concepts and Relationships
... using principle component analysis on an author co-citation frequency matrix [6]; Etemad identified the most influential authors and studies in electronic commerce field by using citation ...
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Wavelet Transform Based Face Recognition Using SURF Descriptors
... Later Principle Component Analysis (PCA) [3] and Linear Discriminant Analysis (LDA) [4] based algorithms were ...subspace analysis and view manifold modeling [6], Local Fisher ...
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Remotely Sensed Ore Mineralization Potentials in Ramand Altered Region, North of Iran
... selective principle component analysis technique on ETM ...mathematical analysis contained number of unique digital numbers related to mineralization potentials in Ramand region, Qazvin ...
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