pca

Profitability Analysis, alongside Profit Center Accounting ( EC- PCA), is one of the application components for profitability accounting.

The results of PCA indicated that soil salinity was one of the most important factors affecting the community distribution.

In conclusion, PCa management requires risk stratification with a combination of variables, PSADT being one of the most reliable predictors.

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

The methods which can be utilized for EC-PCA (Profit Center Accounting) are period accounting or by the cost-of-sales approach.

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

By last month, nine people had died, one of the biggest food product recalls in US history was under way and PCA had filed for bankruptcy.

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

For PCA LDA to be competitive, the crucial step is to select the most discriminant PCA features before performing LDA.

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

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

The four chosen polymers were used as sensitive component for a sensor array, and then PCA is adapted to classify four simulant gases.

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

The action potentials' features are extracted by PCA, the action potential classification is implemented by the improved K-means algorithm.

As a result of these divergences from [4], our PCA results are somewhat different.

The data set is projected into low dimensional PCA space using PCA, and the low dimensional data set used as training data set of RVM.

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

Thirdly, PCA dimensionality reduction algorithm is applied to reduce the dimension of union feature.

Diplomats still hope to launch negotiations on a new PCA before the next EU-Russia summit in Siberia in June.

'We have had about 65 candidates take the survey, ' says PCA Skin Chief Executive Richard Linder, who has filled 17 positions since June.

PCA is sufficient for reducing data volume, however it fails to preserve the spectral and local characteristic of the original data.

Objective: To provide anatomic data of central retinal artery (CRA) and posterior ciliary artery(PCA) for operation around optic nerve.

In this paper, the image shape feature extracted by the PCA method can meet the needs of the recognition layer well.

For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.

The results of PCA and UPGMA clustering analysis exhibited a good consistency, and were also consistent with geographic origins.

The experiments show that using PCA-LDA method in audio feature extraction is effective for improving the audio classification results.

Conclusion: PCA from AAV is a favorable protein C-activating reagent that has high potency and produces less influence on the experiment.

Objective To observe the effects of scalp nerve block combined with tramadol PCA on the postoperative pain undergoing craniotomy.

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

without large matrix calculate and no iteration , the fast pca algorithm gets a very fast speed.

Coclusion Chemical pattern recognition by PCA can be used to the quality evaluate. . .

The object samples are regarded as a set of random vectors. A set of eigen-objects is given by PCA.

Objective: To evaluate the clinical diagnosing value in the differentiation of prostatic carcinoma(PCA)by color Doppler.

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.

Simulated development of PCa cells and animal models are commonly used in preclinical research on PCa studies.

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

while subcutaneously can relief pain as intravenous PCA in patient after open heart surgery safely and efficiently.

The results showed that PCA could basically distinguish walnut of artificial aging times and natural aging times.

Method 263 case of suspicious prostatic carcinoma(PCA) were biopsies by transrectal ultrasound guidance.

Patient-controlled regional analgesia (PCRA) is a new analgesic method composed of regional nerve block and PCA.

The PCA and the ANN are the primary pattern recognition tools in intelligent recognition.

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

The results show that the KW-GIUH model coupled with the time-varying PCA provides good performances in runoff simulation.

Combine PCA with Multi-view learning strategy using in text categorization can prove its feasibility.

The results show that PCA is an effective method in JR image sequence processing.

In this paper, the degradation characteristics of PCA by the strain Sphingomonas sp.

Compared with a system performance monitoring based on characteristic subspace, the improved PCA is more effective.

PCA supplied food companies, hospitals, nursing homes and cafeterias.

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

Then, the structural information of the global face image is extracted by PCA.

Introducted the face recognition technology. At last, we gave the entire design of software and hardware, and the algorithm of PCA.

Comparisons of applications and interpretations between CFA and PCA.

Ratioes among 6 compounds were confirmed to be molecular marker by the application of PCA.

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

A new PCA-based facial feature location and face recognition algorithm is investigated.

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

The result indicated: the method has a higher recognition rate than the traditional LDA and PCA in the lower dimension space.

Secondly, the developing method of fault detection and diagnosis system based on PCA for the production process is discussed.

In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.

However, when applying conventional PCA to industrial process monitoring, a lot of problems appear because of its performance limit.

KPCA has a higher performance index and wider range of application than PCA.

For now, the relationship is based on an outdated partnership and co-operation agreement (PCA), signed in 1997.

The result shows that the seam offset identified method based on PCA_ RVM has better performance than traditional methods.

The modular PCA is proposed considering this situation.

The control group only took IV PCA postoperatively plus placebo.

This PCA machine will automatically give you an analgesic.

Now talks on a new PCA are stymied again, this time because of a veto by Lithuania.

Within the EU, the new PCA involves several different kinds of treaty-making competences, functions and procedures.

Administer the process of Product Corrective Action Notice (PCA).

ault diagnosis method for power electronics rectifier based on PCA- Neural Network was proposed.

The PCA-6153 also features power management to minimize power consumption .

Describe pain-control methods. Many clients have a patient-controlled analgesia (PCA) pump.

At the same time we also applied the Principal Components Analysis (PCA) neural network in seal registration successfully.

Be responsible for PCA and process inspection.

Objective To prevent and release the postoperative urinary retention caused by PCA pump and avoid indwelling catheter.

The use of the PCA pump for nursing and observing the patients who are done the thoracic operation.

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.

In order to solve the linear discriminant in the small sample size problem, this paper presents a solution to PCA LDA.

A novel method for infrared face recognition based on PCA and LDA in wavelet domain is proposed.

Then experimental data is used to test the PCA_RVM method.

Is Two-dimensional PCA a New Technique?

Combing with relative PCA, a quasi MSRPCA algorithm is also developed for abnormal detection. 2.

Compared to PCA, LIPP not only suits to linear data but also efficiently preserves the diversity information of non-linear data.

At the same time, the PCA algorithm is used to optimize network input vector in order to reduce network burden.

at the same time , similar to pca , spca can filter data noise.

Clinical study of continuous point infusion by PCA on treatment of osteoporosis vertebral body compression fractures pain in older patients

Clinical observation of the effects of tropisetron on prevention of nausea and vomiting in postoperative patients with PCA

Work experience in PCA or manufacturing, at least 5 years

The program pca theory of algorithms, and self-definition of coordinates, and using two data input methods

An Application of PCA for Monitoring and Diagnosing Fault in a Chemical Polymeric Process

Improving PCA Application in Enterprise Performance Evaluation

PCA classified three different cuscuta with an accuracy rate of 93%;

Postoperative Pain Relief Effect of Intravenous and Subcutaneous PCA Fentanyl after Total Hip Replacement

Clinical observation of Butorphanol in treating of PCA after gynecology department surgery

Study on Spectral Feature Transform by PCA for Remote Sensing Monitoring Land cover in Mountain area of Lancang River Basin

Implementation of PCA Face Identification in Intelligent Mobile Telephone

A study on the chemical process intelligent multi-agent optimization strategy base on PCA fault diagnosis

Therapeutic Effect of PCA on Preventing Post-Prostatectomy Non-Inhibitory Contraction of Bladder

Application of improved PCA to fermentation process monitoring and fault diagnosis

Clinical application of cervical plexus block combined with PCA for excision of carotid aneurysm

Effect of different doses of preoperative dextromethorphan on fentanyl consumption in PCA

PCA Stepwise Regression Forecasting Model of Climatic Filed of North China Summer Rainfall

Recognition of a Limited Chinese Character Set Based on PCA Learning Subspace Algorithm

Curative Effect Observation of Patient PCA Treat Bigotry post Herpetic Neuralgia

Application of Improved PCA to Fault Diagnosis for Vacuum Consumable Electric-Arc Furnace

Observation of early switching off PCA pump to treat postoperative urinary retention

The application of time series analysis and all-around PCA in the economic dynamic description

Modular PCA and its application in human face recognition

A PCA Based Output Integrated Recurrent Neural Network for Dynamic Process Modeling

Determination of Principal Components in PCA Model on Basis of Fault Reconstruction

PCA on the Soil Degradation of the Successive Chinese Fir Plantation

The effect of PCA with tramadol and fentanyl on postoperative sleep pattern in patients with obstructive sleep apnea syndrome

PCA-based Fault Detection and Diagnosis with Application to Heavy Oil Fractionator

Design of Supervisory Controller by Incorporating Dynamic Model into PCA

Industry security; Evaluation and Early Warning; PCA; BP Neural network;

Application of Comprehensive Evaluation of PCA in Innovative Design Plan

The Observation for clinical Effect of Applying the Hypodermic PCA to Control the Pain after Operation

PCA-Based Fault Detection Method for Sensors in Building Air Conditioning Systems

A Coding Algorithm Using PCA-Based Correlation Vector Quantization

Estimation of missing data in process monitoring with probabilistic PCA

Comparison of epidural and intravenous PCA after thoracic surgery

Face Recognition of Combining Two Dimensional Projection with PCA

Inverse PCA with Application to Process Monitoring and Fault Diagnosis

Sparing effect of tramadol on the PCA morphine analgesia in postoperative patients

Model of the Regional Logistics Developmental Integrated Evaluation Based on Nonlinear PCA

An Unsupervised Hyperspectral Image Classification Method Based on the Mixture of Probabilistic PCA Modeling

A PCA Based Efficient Stellar Spectra Classification Method

Continuous Wavelet Transform Based on PCA and Its Application in Gravity Solid Tide Analysis

Sub-stage PCA Modeling and On-line Monitoring with Moving Windows for Batch Processes

Improving Process Monitoring Performance of DCS Using PCA Method

Application of PCA-Based Fault Detection in Thermal Boiler Processes

Application of Multiscale PCA method in Data Rectification

Support Vector Classifier Based PCA with Application to Process

Application of PCA in Sensor Fault Diagnosis of Rocket Engine Ground Testing Bed

Improve on BP neural net's arithmetic with pca and use it in fault diagnosis

Behavior Analysis of Sensor Fault Detection Using PCA Approach

Nursing research on PCA pump in applying to patients after cesarean section

Symmetrical PCA and Its Application to Face Recognition

A PCA Based Unsupervised Anomaly Detection Approach

Multiscale PCA in Application to Process Monitoring

PCA Approach to Condition Monitoring and Fault Diagnosis

Analgesic Effect of PCA in Postoperative Patients of General Surgery

Study on the Ordination of Climate Factors in Corn-growing Regions of Shanxi by PCA

Nonlinear PCA based micro gas sensor array signal processing

Research on kernel PCA support vector machine algorithm

The Application of PCA in Ocean Engineering System Risk Analysis

Relations of Grassland Bio-parameters Based on PCA Combining Community Survey and Vegetation Spectrum

Application of Sliding Window PCA Time Sharing Method in Fermentation of Nosiheptide

A Comparative Study on Face Recognition Using PCA-based Methods

Nonlinear PCA algorithm for blind separation of convolutive mixtures

The Study of Extracting Ability of Discriminant Features for Modular PCA

Research on Synergetic Effect between PCA and Other Water Treatment Reagents

PCA-based early fault diagnosis of solid waste incinerator

An implementation of a Face Recognition System Based on PCA and LDA

Clinic Observing the Effect of Postoperative Analgesia of Esophageal Carcinoma by Using PCA

Improved PCA with Application to Fault Detection

Influence of PCA on Solid-liquid Reaction Milling Process

The Application of PCA in the Feature Extraction of Digital Figure

Spatial PCA and Pollutant Sources of Topsoil PAHs in Tianjin Area

Input-Train Neural Network and PCA Method for Fault Detection

PCA on the Effect of Different Artificial Forests on Soil Fertility Improvement

PCA Based on Neural Networks and Its Application to Image Compression

Batch processes fault detection based on characteristic subspace moving window PCA

The Multivariate Statistical Theory Based on PCA Analysis Applied in Process Monitoring

A Soft-sensing Approach to On-line Predict the Yields of Industrial Pyrolysis Furnace Based on PCA-RBF Neural Networks

Application of union adaptive algorithm based on PCA and rough set for feature selection in face recognition

Fault Diagnosis of Power Electronic Circuits Based on Wavelet Multi-resolution Analysis and PCA

Radix salviae miltiorrhizae: by Principal Component Analysis(PCA), samples of near regions are near in scores plot;

Handwritten Character Recognition Based on the Nonlinear PCA Neural Network

Automatic radar target recognition based on PCA method using one-dimensional range profile

Application of PCA in radar target recognition

PCA Based Human Activity Recognition

Application of the PCA method in analyzing the students'studying results

Application of PLS and PCA on Quantitation Analysis in NIR

A Convergent Algorithm for PCA Neural Network

PCA model for simulating AE and chaos in rock failure process

Wavelet transform and PCA to detect cars in static images

Study on determining principal components in PCA based on fault reconstruction

A New Approach for Handwritten Chinese Character Recognition Based on Multi-Channel PCA Model

Research on segmented PCA based on band selection algorithm of hyperspectral image

Dimensionality reduction in audio fingerprint based on weighted PCA

Nursing of patients with PCA after operation

Radix salviae miltiorrhizae: by PCA, clustering result is associated with regions;

Machine Fault Condition Recognition Based on Supervised Kernel PCA

Monitoring and fault diagnosis based on PCA for multivariable control system

Image compression algorithm based on wavelet analysis and nonlinear PCA

Research on Flame Monitoring Based on Image Processing Technology and PCA method

A soft-sensing model built for acetic acid distillation columns based on the PCA-BP neural network

An Object Continuous Attributes Quantifying Algorithm Based on PCA and Fuzzy C-means

New PCA Feature Compression Algorithm Based on Information Theory

Remote Sensing Image Fusion Method Based on PCA Transform and Wavelet Transform

Prediction on Product Yields of Catalytic Reforming Unit by BPNN-PCA

Phase Space Reconstruction Based on Wavelet Transform Domain PCA

Fault diagnosis based on recursive PCA with restricted memory of patterns

in the projection plot obtained with PCA;

Human Capital Prediction Based on the PCA-BP Artificial Neural Networks

Image Feature Attributes Reduction Based on PCA Pre-processing

Method of selecting simulation watershed based on PCA and cluster analysis

Wide-band Multi-spectral Space for Color Representation Based on Aitken PCA

Optimal sensitivity of multispectral camera based on PCA

Application and nursing of PCA after the TURP

Underwater targets recognition based on PCA and BP neural network

The Proximity Identifier Selection Based on PCA for Peer-to-Peer Networks

Work in close cooperation with Operation Manager to ensure PCA contract execution

Feature Extraction from Vibration Signals of Diesel Based on PCA

Estimation of building's material(labor)consumption based on ANN and PCA

Fault Detection of Chemical Processes Based on Improved PCA

Runoff periodicity analysis based on robust PCA and cluster

Photometric redshift estimation based on PCA

Monitoring and Fault Diagnosis based on PCA for Sensor Networks

Fault diagnosis method based on PCA similarity factor

Face recognition based on mixed feature of ICA in PCA residual face space

An Adapted PCA to Multiview Face Recognition

PCA and ICA are adopted to deal with dimension reduction, the effect of which is compared and analyzed;

Raises based on PCA and small wave packet remote sensing image fusion

Soft Sensor Modeling Based on PCA and Support Vector Machines

A Study on PCA-Based Self-directed Innovative Capability of Petrochemical Industry in China

Software Quality-Measurement Model Based on PCA

Face Recognition Using PCA Based on Wavelet Subband

Research on Auto Text Classification Model Based on PCA

Color Image Fusion Based on PCA and Wavelet Frame Transform

Human Face Recognition Method Based on Modular PCA

Face Recognition Using PCA and Neural Network Based on DCT

A Novel PCA Face Recognition Method Based on Scale Factors

Target Detection of Multi-spectral Image Based on PCA and ICA

Multiple Neural Networks Soft Sensing Model Based on PCA and it's Application in Industry

Study on soft measurement based on PCA-RBF neural network

A PCA analysis method based on support vector machine

Face recognition based on PCA and neural network

The Extraction of Wood Texture Features Based on PCA

A Nonlinear PCA Method Based on Neural Networks

PCA on the Term Structure of Zero-coupon Yield Rates

A Method for Text Feature Extraction Based on PCA and RS

A Study on the Application of PCA to the Development of Vehicle Real Driving Cycle

Face Recognition Based on Kernel PCA

Research of Machine Fault Diagnosis Based on PCA and SVDD

Evaluation on Chinese Industry's Science and Technology Competitiveness Based on PCA

Science and technology competition competency evaluation of region based on PCA in China