Search Results - (( web application means algorithm ) OR ( _ application warping algorithms ))*
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Hybrid shear-warp rendering
Published 1999“…In shear-warp rendering, the volume is resampled, composited and warped to obtain the final image. …”
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Forex trading prediction using linear regression line, artificial neural network and dynamic time warping algorithms
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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Time normalization of LPC feature using warping method
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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Thesis -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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Pre-processing of input features using LPC and warping process
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NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition
Published 2006“…The idea behind this method is due to neural network (NN) limitation where a fixed amount of input nodes is needed for every input class especially in the application of multiple inputs. The new feature processing used the modified version of traditional DTW called as DTW-FF algorithm to fix the input size so that the source and template frames have equal number of frames. …”
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Geometry based lip reading system using Multi Dimension Dynamic Time Warping
Published 2012“…Lip geometry features including height, width, ratio, area, perimeter and various combinations of these features were evaluated to determine which performs the best when representing speech in the visual domain in the application of three separate classification methods, namely optical flow, Dynamic Time Warping (DTW) and a new approach termed Multi-Dimensional DTW. …”
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Conference or Workshop Item -
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition
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VOICE RECOGNITION FOR SECURITY PURPOSES
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