Discrimination between datasets using Principal component analysis (PCA)
Using principal component analysis to reduce complex datasets produced by robotic technology in healthy participants
... generated using the KINARM ...current analysis was conducted in healthy participants, and future PCA will need to examine participant perform- ance using a clinical sample, such as stroke, to ...
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Forecasting monthly airline passenger numbers with small datasets using feature engineering and a modified principal component analysis
... space using kinetic correlation as a distance (increasing performance), to make it run in real-time in future ...unless using the said ...implementation using a divide and conquer method, which has ...
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Pulse Shape Discrimination Techniques based on Cross correlation and Principal Component Analysis
... differences between them by finding the eigenvectors of the covariance matrix of ...resulting principal components will display different degrees of correlation with the observed variables, but are ...
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Principal Components Analysis of Discrete Datasets
... of principal components only when the dimension d is fixed (Anderson et ...of principal com- ...scale-invariant principal component analysis method copula PCA (COCA) to solve these ...
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Using Principal Component Analysis in Loan Granting
... data analysis and it is used in many fields to extract relevant information from confusing data ...differences between them. An advantage of using PCA consists in quantifying the importance of each ...
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Face Recognition Using Principal Component Analysis
... Descriptor Using Eigen Face The face library entries are ...approximated using only the best M eigen faces, that mean the largest eigen ...matrix between two sets of data reveals how much the sets ...
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Robust Recognition using L1-Principal Component Analysis
... Many recognition techniques today rely on statistical techniques that perform direct correlation comparisons between the test face and training databases [1]. To improve performance many techniques relay on PCA to ...
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Assessment of depth of anesthesia using principal component analysis
... Figure 6. Comparison of RBR and proposal mixture model based on concordant values The main result of applying the foregoing algorithm is that SRE is directly proportional to the BIS index. On the other hand, LRE is ...
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Indentification Of Noise Sources Using Principal Component Analysis
... This matrix has the variances of the variables on the diagonal and the covariance’s between the variables outside the diagonal. Mathematically it is proven that for the principal components T k x (k = 1, ...
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Modelling Objects Using Kernel Principal Component Analysis
... distance between different training data ...connection between the data points that are close to each other in the feature ...eigenvector analysis, the eigenvectors will describe the direction in a ...
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Face Recognition System Using Principal Component Analysis
... found between the ...extracted using PCA and ICA. The features from local regions are extracted using LFA and Gabor ...calculated using Euclidean distance, neural networks, Elastic Graph ...
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Hand Gesture Recognition using Principal Component Analysis
... by using a human trait associated with it like eyes (by calculating the distance between the eyes) and using hand gestures, fingerprint detection, face detection ...of using these traits for ...
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Sensor Fault Diagnosis Using Principal Component Analysis
... present an effective method for the SFD problem which will incorporate the state-of-the- art machine learning techniques. Technical Background Most data driven methods for SFD are nonlinear, i.e. it is assumed that there ...
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FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS (PCA)
... Classification is performed by comparing the feature vectors of the face library members with the feature vector of the input face image. This comparison is based on the Euclidean distance between the two members ...
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Network Traffic Analysis Using Principal Component Graphs
... relation between human age and blood vessel structure is ...Relation between two concepts stand for an edge in the concept ...as principal component graphs ...
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Comparison of Iris Recognition Using Gabor Wavelet, Principal Component Analysis and Independent Component Analysis
... of using iris recognition ...finds principal components that are critical for iris ...difference between input test image and database image to authenticate the ...
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Efficient Image Registration using Fast Principal Component Analysis
... for Principal Component Analysis (EMPCA) [12] to achieve efficient dimensionality reduction by using an iterative process to determine the dominant principal ...first principal ...
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Assessment of Environmental Carrying Capacity Using Principal Component Analysis
... example, using PCA to establish a comprehensive ECC system to analyze spatial distribution of ECC in Shaanxi ...relationship between the regional resource environment and the coordinated development of ...
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Temperature Sensor Fault Detection using Principal Component Analysis
... driven analysis methods offer an alternative way, mostly methods based on multivariate statistical analysis and here especially principal component analysis ...[7]. Principal ...
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Anomaly Detection Using Robust Principal Component Analysis
... Our manager also bears the responsibility of running mathematical analysis. It assists with easy experimentation of our algorithm, as explained in chapter 4. It is to be noted that feature generation occurs with ...
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