component analysis

Independent component analysis(ICA) are generally used for feature extraction, process monitoring, but rarely used for classification.

It utilizes principal component analysis method to determine index weight and chooses Yellow River Delta as a case of demonstration.

A popular decomposition called principal component analysis (PCA) is widely used for feature extraction.

It showed that the main driving factor was the increase of population growth and urbanization by Principal component analysis.

By means of primary component analysis, the. dimension of initial characteristic, parameter samples is significantly reduced.

Principal component analysis (PCA) and successive projections algorithm (SPA) were separately used to reduce variables of spectral model.

As a multivariate statistical analysis method, principal component analysis is widely used in data process and reduction.

Independent component analysis(ICA) is a technique which extracts statistically independent components from a set of measured signals.

Results It was coherence between average income-consumption per person and wealth index constructed by the main component analysis.

Then we conduct clustered principal component analysis to compress and simplify the displacement data of the skeleton segments of each tree.

Generalization can be defined quantitatively and can be used to assess the performance of principal component analysis (PCA).

In the support of these data, we have adopted the principal component analysis method analyzing the driving forces of land use change.

The determination of weights has taken the average of the values of principal component analysis and Delphi method as the ultimate weight.

Subsequently, principal component analysis (PCA) is used for dimensionality reduction.

Meanwhile, Indepent Component Analysis(ICA) technology, as an effective liner-transformation technology is fast developed recent years.

This article tries to introduce principal component analysis and principal component classification into automatic incident detection area.

In the end of the paper, Principal Component Analysis (PCA) is used to search the Listed Automobile Company performance by the model.

Using independent component analysis(ICA) method, the kurtosis as the criterion to classify the basis images is proposed to removal jamming.

Obtained: Partial Least Squares iterative algorithm to handle data sheet leaflet extraction equivalence with Principal Component Analysis.

Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.

Independent Component Analysis (ICA) was presented as an efficient face feature extraction method.

The simulation result shows that independent component analysis is an effective means to achieve the feature detection of VLP.

We use principal component analysis on term structure we got. Base on this result, we build three factors: level, slope and curvature.

Independent component analysis(ICA) is a new method of signal statistical processing and widely used in many fields.

The principal component analysis and cluster analysis could be perfectly applied in data processing in inorganic elements.

Data mining techniques of cluster analysis and principal component analysis to explore the massive monitoring data processing technology.

Methods of principle component analysis, clustering analysis, comparative analysis and modeling were employed.

The dissertation mainly aims at applying support vector machine (SVM) and kernel principal component analysis (KPCA) to intrusion detection.

The Fuzzy Cluster and principal Component Analysis (PCA) fot classifying the brush--wood of the Shanhaiguan Forestry Farm in this paper.

Features, flow and specifications of the process, preparation, control and component analysis of the plating bath were introduced.

Finally Shanghai being taken as an example, with the principal component analysis the simplified model coefficients was produced.

After that, principal component analysis and the knowledge of linear algebra were used to endow different weight for every concrete index.

Application of principal component analysis and discriminant dassification techniques were studied hydrochemical types of Qinghai salt lake.

Semantic component analysis should be differentiated from the semantic feature analysis.

To improve the efficiency of color image segmentation algorithm, we use quaternion principal component analysis to process color images.

Methods of system analysis, principal component analysis and graphical representation were employed.

Entropy method in the principal component analysis is based on weight, then, ask out of competitive power evaluation of listed companies.

finally realize blind signal separation: with the fast independent component analysis and neural network methods!

Thus, every village is a unique and vivid, there should be an independent component analysis.

Statistical methods include principal component analysis, clustering analysis and radar map method.

In this study, principal component analysis and correlation analysis of land use change on the socioeconomic driving factors are analyzed.

Independent component analysis (ICA) is a new statistical signal approach- developed with blind signal separation.

Adjustable rate algorithm with relative gradient has good prospects in independent component analysis.

Principle component analysis showed hat the elevation and soil thickness can be used as sensitive indices to describe plant change.

Incipient fault detection and isolation of field devices in nuclear power systems using principal component analysis.

Principal Component Analysis(PCA) method and nucleation theory are applied in configuration analysis produced by MD runs.

Principal component analysis is designed to keep lower-dimensional components and ignore higher-order components.

The classification model of papermaking plant fibrous material was established by using principal component analysis.

This paper proposes a new Fourier shape descriptor integrated with Principal Component Analysis(PCA) and the Farthest Point Distance(FPD).

Principal Component Analysis (PCA) and non-parametric tests were performed to assess relationships.

Secondly, a new weighted principal component analysis (PCA) method was designed to lower dimension for sample matrixes.

An approach to fault feature extraction is presented, which bases on kernel principal component analysis (KPCA).

Feature vectors are acquired by wavelet decomposition and principal component analysis.

It shows that principle component analysis provides a scientific way for comprehensive treatment of rivers.

A novel feature extraction method using block-based independent component analysis (BICA) is proposed in this paper.

The comparative analysis to different industries has been finished with the principle component analysis(PLA).

We used factor analysis and principal component analysis to the questionnaire result and got five key factors.

It presents a new NIR multi-component analysis method with clustering analysis and partial Least Square Regression(PLS).

Methods of principal component analysis, grey incidence analysis were employed.

An approach to gear fault diagnosis is presented, which bases on kernel principal component analysis (KPCA).

This paper proposes the face recognition method based on principle component analysis (PCA) and independent component analysis (ICA).

The paper sets up a risk early-warning model using the methods of BP neural network and principal component analysis.

It is studied the application of independent component analysis and support vector machine to fault diagnosis of induction motor.

Multi-scale principal component analysis (MSPCA) for sensor fault diagnosis is discussed.

Then, this paper measures the current level of agricultural integration in Jiangxi province with the method of principal component analysis.

Here we review the research progress on chemical component analysis and pharmacological activities of Valeriana wallichii DC.

Principal component analysis is an important analysis method in the multianalysis.

ECG signal and interferences are mutually independent. So in the paper, we apply independent component analysis in ECG signal processing.

Principal component analysis showed that the first three principal components accounted for 88. 47% accumulation contribution rate.

An efficient face recognition system is designed by using Discrete Wavelet Transform( DWT ), Principal Component Analysis(PCA) and WMMC.

This paper proposes a method based on Principal Component Analysis(PCA) combined with improved K-means for action potential classification.

A method for reducing speckle noise in multiple copy images within identical scenario based on independent component analysis is proposed.

Principal Component Analysis (PCA) is studied and some modifications are discussed to improve the performance of PCA.

In order to determine the factors of land gradating scientifically, this paper selected principal component analysis.

Component Analysis of Essential Oil from Pleurotus Tuber-regium Sing.

An approach named component analysis based on kurtosis (CABK) was used to identify the overlapped peaks.

On the other side, multi-component analysis has been attempt on the base of single component analysis.

This paper reviews the extraction, component analysis and Biological activity on Polysaccharide in endocarp of Ginkgo biloba(GBEP).

A novel face hallucination method based on interpolation and principal component analysis is presented.

There are several problems in the application of principle component analysis in the study of Chinese traditional herbal.

The third part: The principal component analysis on the factors of influencing farmers' income to increase.

Methods Principal component analysis and Factor analysis, BPNN, SVM.

According to state space theory, the independent component analysis (ICA) is used to estimate state variables.

A feature extraction method for palmprint recognition based on Two-Dimensional Principal Component Analysis(2DPCA)is proposed in this paper.

The independent component analysis (ICA) is a new method of signal separation which is developing in these years.

Dimensionality reduction method based on kernel principal component analysis was introduced to improve the matching speed. 4.

A method of data reconstruction was introduced based on independent component analysis (ICA).

The new neural network prediction model of water level is established based on the principal component analysis(PCA).

A new de-noising method for telemetry signal based on Principal Component Analysis (PCA) was proposed.

The 9 resistant components to rice blast in 21 rice varieties were studied by principal component analysis.

A new de-noising method for telemetry signal based on Principal Component Analysis (PCA) was proposed.

The 9 resistant components to rice blast in 21 rice varieties were studied by principal component analysis.

And then we introduce a two-dimensional principal component analysis (2DPCA) based on a direct matrix.

Formulate 2%Tebuconazole WS's effective component analysis methods. 4.

This paper presents eigen ECG, which is based on principal component analysis, a new method for hu- man identification.

A face recognition method based on 2D Principal Component Analysis(2DPCA) and compressive sensing is introduced in this paper.

Thirdly, soil erosion intensity map was obtained by using the method of principal component analysis based on GIS.

In this paper, based on the correlation matrix analysis of sample data, a principal component analysis method is used.

The independent component analysis (ICA) is applied to study the two-phase flow identification.

Principal component analysis of motion patterns for the point-touch movement of the index finger

Principal component analysis of motion patterns for the point-touch movement of the index finger

Application on means of principal component analysis in evaluation of economic efficiency of PE products manufacturing industry

scientific research organization; human resources accounting; performance evaluate; principal component analysis; regression analysis;

Improved independent component analysis applied to classification hyperspectral imagery

Extraction of Single-trial Event-related Potentials by Means of ARX Modeling and Independent Component Analysis

The vulnerability of the banking system; Principal component analysis; Factor Analysis; Quantitative Analysis; Error correction model;

Kernel Based Nonlinear Correlative Component Analysis and Its Application in Chemical Pattern Classification

Principal Component Analysis carries on the comprehensive assessment by re-composition of the various indicators into three non-linear;

Application of a hybrid method in process monitor with independent component analysis and support vector machine

Independent Component Analysis-Support Vector Regression and Its Application in Near Infrared Spectral Analysis

Derivation of a soil albedo dataset from MODIS using principal component analysis: Northern Africa and the Arabian Peninsula

Study of Application of FT-NIR and Principal Component Analysis to the Classing and Distinguishing of Fritillaria

Application of the Principle Component Analysis in Evaluating the Power of Logistics Suppliers

Principal Component Analysis-Support Vector Regression and Its Application In Near Infrared Spectral Analysis

Applications of Independent Component Analysis on Identifying Electroencephalogram

A Comparative Study of Population Differentiation by Using Principal Component Analysis And Cluster Analysis

A Robust Approach to Independent Component Analysis and Its Application in the Analysis of Magnetoencephalographic Data

Application of kernel principal component analysis and cluster analysis in quantitative assessing regional tourism competitiveness

Amino Acid Principal Component Analysis for Protein Structural Study and Its Application in Structure Prediction

Principal Component Analysis of the Main Economic Characters and Superior Variety Selection of Raspberry

Representation of the quasi-biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis

Applying statistical principle component analysis to research regional atmospheric environment quality

Extraction of Depth Information for Micromanipulation Using Normalized Spectral Principal Component Analysis

Application of Weighted Principal Component Analysis in Comprehensive Evaluation for the Road Network

Diamond Model; International Competitiveness of Industry; Principal Component Analysis;

Application of Principle Component Analysis in Optimizing Customer Evaluation Index System for Expressway Traveling Service Quality

Independent Component Analysis and Its Application in Fault Diagnosis of Freight Train Rolling Bearings

The Independent Component Analysis and Its Application in the Geographical and Environmental Fields

Application of the Principal Component Analysis for the Influence Factors of Solvency in Non-life Insurance Companies

A study of spectral features of stands and their related factors with principal component analysis

Independent component analysis and its testing application on seismic signal processing

Comprehensive Nutritional Evaluation of Diabetic Inpatients with Principal Component Analysis

Fault detection and diagnosis in continuous dynamic multivariable processes using independent component analysis

Relative Principal Component Analysis Algorithm and Its Application in Fault Detection

Component Analysis and Molecular Weight Determination of Misgurnus Anguillicaudatus Polysaccharides by Gel Filtration Chromatography

Application of Independent Component Analysis to ECG Cancellation in Surface Electromyography Measurement

Application of independent component analysis on overlapped communication signal separation

Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

Credit Scoring via Principal Component Analysis Linear-weighted Comprehensive Assessment and Application

Study on Classification and Elemental Concentration Prediction of Geological Samples by Principal Component Analysis

Application of Principal Component Analysis Method About the Influence Factors of Cooperative Relationship Between Enterprises and Retailers

Application of Primary Component Analysis to the Evaluation of Economic Benefit for the Enterprises in Different Regions

Application of principal component analysis and support vector machine in evaluating corrosion severity of reinforcing steel in concrete

indicators for quality control of classified are evidently researched and analyzed by principal component analysis model, the cluster model;

Application of principal component analysis in comprehensive evaluation of ethnic autonomous prefecture

Independent Component Analysis and Its Applications in Speech Processing

Study of River Water Quality and Bio-toxicity in Beijing by Principal Component Analysis Method

Study of Contrast Function Construction on Independent Component Analysis Based on Canonical Correlation Analysis

Application of Principle Component Analysis to Evaluating the Work of the Communist Youth League

Morphological Diversities of the Different Species of Elymus spp and their Principal Component Analysis

Kernel Principal Component Analysis and Its Application to Fault Feature Extraction

color image segmentation; principal component analysis; quaternion; algebraic multi-grid method;

Discrimination of Trueborn Tuber Dioscoreae by Fingerprint Infrared Spectra and Principal Component Analysis

Application of the Independent Component Analysis in Data Mining of Undergraduates'Information

Improved method of solving the parameters of independent component analysis model and its application

Handwritten Character Recognition Using Principal Component Analysis

Applying the Principal Component Analysis Method in Comprehensive Evaluation of Economic Results of Tobacco Industry in Guangdong

Application of Principle Component Analysis Method in ComprehensiveAssessment of Atmospheric Environmental Quality

The Primary Component Analysis Method and Its Application in Earthquake Prediction

Improving Performance of Kernel Principal Component Analysis Using Combination Kernel Functions

A Riemannian Geometry Underlying Stochastic Algorithm for Adaptive Principal Component Analysis

Component Analysis of Polysaccharide from Opuntia and Determination of its Molar Ratio

The Application of Principal Component Analysis in the Evaluation of an Individual Stock in Security Market

Complimentary of three-rigid panels law of geometrical component analysis

The application in the environmental monitoring point optimizes of the principal component analysis

Component Analysis of Monosaccharides in Polysaccharides by Capillary Gas Chromatography

The Noise Cancellation for Ultrasonic Signals Using Reconstructed Phase Space and Independent Component Analysis

Principal component analysis on operation parameters and pollutant emission of municipal solid waste incinerator

Chemical Component Analysis of Urinary Calculus and Its Clinical Application

Principal Component Analysis of Students'Constitutional Healthiness

Application of Weighted Principal Component Analysis in Comprehensive Evaluation for Variable Speed Limits

An Application of Principal Component Analysis to the Evaluation of the Matching Gap Between Auto-body Stampings

Rough Principal Component Analysis and Its Application on Feature Extraction for Gears

A Modified Fast Independent Component Analysis and Its Application to Image Separation

Identification of Bacillariophyta and Pyrrophyta by Using Fluorescence Spectrum and Principal Component Analysis

Online Algorithm of Independent Component Analysis and Its Application

Independent Component Analysis and Its Applications to Fault Diagnosis

Provincial Financial Competitiveness; General Index; System of Indices; Principal Component Analysis;

The Method of Principal Component Analysis by Weighting Variables to Evaluate Polluting State of Water Environment

Application of the kernel principal component analysis method in comprehensive evaluation of ship type

Blind Source Separation for fMRI Signals Using a New Independent Component Analysis Algorithm and Principal Component Analysis

A primary study of independent component analysis for GPR signal processing

An Application Research of Synthetic Evaluation about Hospital Management Quality by Using Principle Component Analysis and Factor Analysis

Plotting processing product types for kernels from excellent strains of Hubei walnut using principal component analysis method

Quantitative study on the difference of regional sustainable development-the principal component analysis

The algorithm of independent component analysis and its application in the analysis of exchange rate

Independent Component Analysis and its Application to Rotor Fault Diagnosis

Comparison of Principal Component Analysis with Factor Analysis in Comprehensive Multi-indicators Scoring

A Study of Ranking Formulas of the Principal Component Analysis and AHP

Assessment model of technology innovation in manufacturing industries based on principle component analysis and its application

KPCA: A Nonlinear Principal Component Analysis Algorithm Integrating Priori Class Information

Principal component analysis and integral methods of cerebral vascular hemodynamic parameters

Improved principal component analysis to feature selection for transient stability assessment

Multi-user detection based independent component analysis with preprocessing of dimension reduction

The Application of Principal Component Analysis in Matching the Supply and Demand of the Logistics Training Market

logistics node facility; layout; logistics demand; principal component analysis;

Principal component analysis of factors affecting consumer information searching

Discrimination of Normal and Malignant Gastric Tissues with FTIR Spectroscopy and Principal Component Analysis

The application of primary component analysis in comprehensive appraisal of inner mongolia district and town enterprises

Equivariant adaptive blind separation via independence component analysis

Wavelet based independent component analysis for palmprint identification

Study on independent component analysis for epilepsy electroencephalogram

An Improved Method for the Application of Principal Component Analysis for the Comprehensive Evaluation

Application of Principal Component Analysis in Blood Biochemistry Research in Coccidia-Infected Broilers

Constructing the Model of the Enterprise's Financial Crisis with the Principal Component Analysis

Independent Component Analysis and Its Application to Round-Air Communication System of Civil Aviation

Application of principal component analysis in construction schemes of underground structure group

Research on damage localization of principal component analysis-based probabilistic neural network

The Application of Principal Component Analysis to Economic Sustainable Development Research

Application of principal component analysis in flocculating experiments of dyeing wastewater

Streptomycin fermentation process modeling with principal component analysis and fuzzy model

The application of principal component analysis to agriculture soil contamination assessment

Component Analysis and Separation of Underlayer Glycerin Solution from Biodiesel Preparation

Application of Principal Component Analysis in Evaluating Growth and Development Status of Preschool Children

Application of the Principle Component Analysis on Mango Storage Characteristic

Application of principal component analysis and Fisher discrimination method in the classification of gasoline

The Principal Component Analysis and Clustering Analysis for the Quantitative Traits of Red-seed Watermelon

Multi-component analysis of stream sediment and soil samples by polarized energy dispersive X-ray fluorescence spectrometry

Application of principal component analysis in evaluation of meat quality and sieving optimal combination in crossbred pigs

Nonlinear multiscale multiway principal component analysis

Independent component analysis and its application in estimating VEP

The application of the principal component analysis method in quality evaluation of cultivated land

Application of principal component analysis in date processing of quantum chemistry calculations on nucleic acid bases

Principle Component Analysis Application in Multivariate-quality-control

Improved Algorithm for Nonnegative Independent Component Analysis

A speech enhancement algorithm of independent component analysis imported virtual noisy component

Canonical Correlation and Principal Component Analysis of Quantity Character of Transgenic Cotton

Application of principal component analysis and cluster analysis to provincial logistics planning

Independent Component Analysis for Fault Detection of the Liquid Propellant Rocket Engine

The Application of Principal Component Analysis to Quality Assessment of University Students and College Students

Independent component analysis and its application on EEG inverse problem

Principal Component Analysis of the Spatial Differences of Urban Land Intensive Use in Jiangsu Province

Advances in Independent Component Analysis and Its Application

Research on Independent Component Analysis and Its Application

Discussion of Integrated Evaluation Models of the Principal Component Analysis

Principal Component Analysis of TCM Syndrome of Stroke Application of Main Component Analysis in Systemic Evaluation of Stroke

Component analysis of monosaccharides in polysaccharides for boletus edulis bull by gas chromatography

Application of BP Neural Network Principal Component Analysis to Forecasting the Automobile Population

Application of Principal Component Analysis in Building Enterprises Evaluation

Application of independent component analysis in atrial fibrillation detection

Application of Principal Component Analysis on Workable Competition Evaluation

Application of independent component analysis in biomedical signals processing

Harmonic elimination of two-way frequency automatic communication system based on independent component analysis

Application of Primary Component Analysis in the Comprehensive Evaluation of Economic and Social Development

Study on dynamic independent component analysis and its application

Evaluation for Urban Traffic Management Planning on Improved Principal Component Analysis Method

Application of Primary Component Analysis into Comprehensive Appraisal of Student's Achievements

Study on Evaluation Index System to Optimize Teaching Quality of Higher Vocational Teachers by Main Component Analysis Method

Application of Independent Component Analysis Technology in Speech Signal Processing

Principal Component Analysis on Micrograph Character Parameters of Wood Transverse Section