PCA Algorithm
An Improved Shadow Honeypot with PCA Algorithm to Enhance Error handling on the Network
... security algorithm named honeypot using PCA algorithm to expand the network topology space and confuse the attacker, Network is being confronted currently and the common attack tools, methods and ...
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Power Quality Data Compression Based on Iterative PCA Algorithm in Smart Distribution Systems
... PCA algorithm was invented in 1901 by Karl Pearson, and it uses an orthogonal transformation to convert a set of measurements of possibly correlated variables into a set of values of linearly uncorrelated ...
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Retina and Face Recognition Removing Facial Distortion Using PCA Algorithm
... This is first kind of implementation on RETINA&FACE recognition using PCA for biometric system with this specialized hardware’s & software. This paper presented biometric recognition based on the face and ...
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Performance Evaluation of LPG PCA Algorithm in Deblurring of CT and MRI Images
... This paper presents the performance analysis of the LPG-PCA algorithm in deblurring of medical images. Medical images containing lot of information which are often affected by noise and artifacts, which ...
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Face Recognition Based on PCA Algorithm Using Simulink in Matlab
... Conclusion This paper presents a computer software system which can recognize a face. PCA technique which is used for face recognition based on Simulink in Matlab. For face recognition we use a image of size ...
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GLCM and PCA Algorithm based Watermarking Scheme
... and PCA algorithm has been utilized in order to improve the working capability of the neural network based watermarking ...and PCA algorithm. The scaling factor defines the output of the ...
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Face recogination using pca algorithm with matlab
... as PCA and LDA based methods, has significantly advanced face recognition ...Using PCA, an optimal face subspace is constructed to represent only the face object using LDA, a Discriminant subspace is ...
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New Bounds on Image Denoising Using Non Local PCA Algorithm for Noise Estimation
... both PCA and tensor analysis, we propose an effective scheme to automatically choose dimensionalities in a way that is adaptive to the complexity of image structures in the ...
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Survey on Detection and Rectification of Distorted Fingerprint Using SVM Classifier by PCA Algorithm
... rectification algorithm, to fill the ...scheduled algorithm can increase the recognition rate of distorted fingerprints ...proposed algorithm based on the features derived from the orientation field ...
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Time Improvement and Accuracy Enhancement in Detection and Rectification of Distorted Fingerprint Using PCA Algorithm
... The above figure shows the ROC ( Receiver Operating Characteristic ) of proposed algorithm and algorithm used in existing systems. The ROC curves are plotted using TPR (True Positive Rate ) at y axis and ...
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Automated Facial Expression System using PCA Algorithm
... In this research work, the most well-known technique of Principal Component Analysis has been implemented. The existing PCA based face recognition systems can be upgraded for Facial Expression Recognition too. The ...
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PCA Algorithm for Human Face Recognition
... reduction. PCA is a technique that can be used to simplify a dataset; more formally it is a transform that chooses a new coordinate system for the data set such that the greatest variance by any projection of the ...
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PCA-SVM Algorithm for Classification of Skeletal Data-Based Eigen Postures
... Abstract Falls are the major reason of serious injury and dangerous accident for elderly people. A recognition system is necessary to recognize falls early for help and treatment. In recent years, researchers have been ...
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Optimized Principal Component Analysis on Coronagraphic Images of the Fomalhaut System
... (PCA) algorithm for planet detection, a new algorithm complementing angular differential imaging and locally optimized combination of images (LOCI) for increasing the contrast achievable next to a ...
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A Review: Design and Implementation of Image Acquisition and Voice Based Security System
... using PCA and neural network back error propagation Algorithm ; In this features are extracted using PCA and classification using back error propagation Histogram Equalization and Euclidean distance ...
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A Text Classification Algorithm Based on PCA
... extraction algorithm, through the mutual information (MI), document frequency (DF), information gain (IG) andχ2 statistics (CHI) algorithm research, using of their respective advantage complementary, ...
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Thyroid Prediction System using Machine Learning Techniques
... 677 PCA Algorithm: PCA, an algorithm mostly used for making predictive models, is used when there are many variables and we need to find correlation between ...and PCA perform almost ...
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Identification of pesticide residue level in lettuce based on hyperspectra and chlorophyll fluorescence spectra
... wavelength algorithm can improve the performance of the model, but also some of the algorithm reduces the performance of the ...WT-MD-MCCV algorithm of the model is higher than the PCA ...
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Automated attendance system using Face recognition
... one of the key aspects of computer vision. There are at least two reasons for this trend; the first is the commercial and law enforcement applications, and the second is the availability of feasible technologies after ...
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Thyroid Prediction System using Machine Learning Techniques
... 677 PCA Algorithm: PCA, an algorithm mostly used for making predictive models, is used when there are many variables and we need to find correlation between ...and PCA perform almost ...
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