Results from the connected component analysis algorithm
Building change detection from LIDAR point cloud data based on connected component analysis
... nected component analysis has also been ...a connected component analysis algorithm is ap- plied, and for each connected component its area, width and height are ...
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Rapid Algorithm for Independent Component Analysis
... can be used in this system for the similar-image retrieval [7]. In such a case, the speedup of the RapidICA is quite good. For the case of signals that are nearly Gaussian, such as the EEGs, the RapidICA again ...
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Recognition of License Plate Numbers using Connected Component Analysis
... Many researchers have done so much work to overcome all the challenges to detect the objects, but found that no general method is best suitable for the detection of license plate models from different areas. In ...
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Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm
... © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of C3IT Keywords: Biometric, Infra-red spectrums, Thermal physiological features,Label connected component, Minutiae ...
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The connected component of the partial duplication graph
... The results above do not give the recurrence properties of ¯ Q in the case p = e −1 ...further analysis of the transient Markov chain may give more infor- mation; it is also possible that a different ...
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Real-time single-pass connected components analysis algorithm
... proposed algorithm, the length of row buffers is the same size as the number of col- umns; in the extreme situation, there will be M/2 provisional labels in a row, which means that the length of the data tables, ...
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Handwriting Identification using Connected Component Analysis and 2D Discrete Wavelet Transform
... character from sources such as paper documents, touch screens, etc and compare it with an existing ...hand-printing analysis is applied to many types of investigation: fraud, homicide, suicide, drug ...
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Area-level socioeconomic deprivation and mortality differentials in Thailand: results from principal component analysis and cluster analysis
... These areas are exclusively located in the northeastern re- gion. The high mortality of liver cancer geographically coin- cides with endemic areas of Opisthorchiasis in the northeast [45–47]. Previous reviews reported ...
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Principal Component Analysis Algorithm Based on Mutual Information Credibility
... SVM algorithm before and after dimension reduction of two data ...principal component analysis data dimensionality reduction method processing high dimension data, the time of it taken is too long, ...
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Heterogeneous Network Selection Algorithm Based on Principal Component Analysis
... methods, from which we know network 2 (UMTS2) is suitable for conversation services, network 4 (WLAN2) is match with demand of interaction scene, and network 5 (WiMAX1) shows more advantage for streaming media ...
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An Improved Wavelet Denoising Algorithm Based on Principal Component Analysis
... DEL algorithm fused with PCA in order to make the SNR of the denoising signal larger and make the reduction degree of the denoising signal ...the results of the two experiments are similar and the ...
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Chaos control with STM of minor component analysis learning algorithm
... MCA algorithm, Douglas’s MCA algorithm can lay out the most properties of MCA ...MCA analysis result and extend the properties based on the study of this ...the results of numerical simulation ...
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Kernel Hebbian algorithm for iterative kernel principal component analysis
... The problem of image hyperresolution is to reconstruct a high resolution image based on one or several low resolution images. The former case, which we are interested in, requires prior knowledge about the image class to ...
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A novel fixed point algorithm for constrained independent component analysis
... separation results of c-ncFastICA al- gorithm, ncFastICA algorithm, and the symmetric gradi- ent descent method [26], where ρ n = ...c-ncFastICA algorithm performs signifi- cantly better than other ...
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Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images
... postprocessing algorithm to remove artifacts is par- ticularly beneficial, because it eliminates the need to reacquire data, which can be very inefficient when per- forming long scans, or even impossible in the ...
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Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images
... postprocessing algorithm to remove artifacts is par- ticularly beneficial, because it eliminates the need to reacquire data, which can be very inefficient when per- forming long scans, or even impossible in the ...
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A REINTERPRETATION OF PRINCIPAL COMPONENT ANALYSIS CONNECTED WITH LINEAR MANIFOLDS IDENTIFYING RISKY ASSETS OF A PORTFOLIO
... 12. Some final remarks It is possible to show that the notion of direction of an appropriate vector belonging to a linear space over R has a probabilistic and economic meaning. Particular equations of proportionality are ...
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High Dimension Component Analysis Using Classification Algorithm for Gene Prediction
... 79 likenesses and contrasts between the examples and figure out if the samples can be categorized.The work done using Neural Network leads to the formation of following graph. Here, outputs are considered i.e., the ...
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A Data Clustering Using Modified Principal Component Analysis with Genetic Algorithm
... AND ANALYSIS Dataset and Test Performance The proposed method implements in MATLAB R2013a and tested with very reputed data set from UCI machine learning research ...datasets from UCI machine ...
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Review of models Analysis & Techniques of Software Component and Optimization with Genetic Algorithm
... Keywords: Component Based Development, Software component, Component reusability, Retrieval techniques, Component models, Genetic ...The component based development is subset of ...
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