[PDF] Top 20 El Periodismo científico en los diarios digitales del Estado español
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Reducing Computational Time of Principal Component Analysis with Chinese Remainder Theorem
... Principal Component Analysis is the basic linear technique for dimensionality reduction which implements a linear mapping (as shown in Figure 1) of the data to a lower-dimensional space in such a ... See full document
54
Privacy Preservation Approach using K-Anonymity Chinese Remainder Theorem for Intrusion Detection
... Feature selection research has found applications in many fields where large volumes of data present challenges to effective data analysis and processing. As data evolves to be ubiquitous and abundant, new ... See full document
13
Performance Enhancement of Huffman Coding Image Compression with Chinese Remainder Theorem
... of reducing the size of ...integrate Chinese Remainder Theorem (CRT) into the Huffman compression algorithm to enhance the speed of compression as against the Traditional Huffman Compression ... See full document
43
Financial Openness and Financial Development: An Analysis Using Indices
... our principal component index of financial openness provides more significant and economically profound results in comparison to the Chinn and Ito ... See full document
27
Criminal Identification and Alert System
... (principal component analysis), MPCA (Multi linear Principal Component Analysis) and LDA (Linear Discriminant Analysis) in which we recognize an unknown test image by ... See full document
113
The Numbers of Thousand Place of Mersenne Primes
... Mersenne primes are a special kind of primes, which are an important content in number theory. The study of Mersenne primes becomes one of hot topics of the nowadays science. Searching for Mersenne primes is very ... See full document
162
IMPROVED IMAGE DENOISING BASED ON AN HYBRID APPROACH OF WAVELET AND PCA'
... Wavelet analysis and Principal component analysis has been demonstrated to be powerful methods for performing image noise reduction Performance of denoising algorithms is measured using ... See full document
9
A Wireless Signal Denoising Model for Human Activity Recognition
... The overview of our system is as Fig. 1. Firstly, mean filtering and low pass filtering are performed on CSI original data respectively. The main purpose of these two filters is to remove some of the additive noise and ... See full document
12
Approximate Inference for Determinantal Point Processes
... Finally, we demonstrate our approach using real-world data. Consider a variant of the document summarization task where we wish to summarize two bodies of work in a manner that compares them. For instance, we might want ... See full document
10
Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis
... The first recording of the electric field of a human brain was made by the German psychiatrist Hans Berger in Jena, Germany, in 1924. He named the recorded signals electroencephalograms (EEGs) [1]. Over the past few ... See full document
5
A SURVEY: PRINCIPAL COMPONENT ANALYSIS (PCA)
... factor analysis, Eckart–Young theorem (Harman, 1960), or Schmidt–Mirsky theorem in psychometrics, empirical orthogonal functions (EOF) in meteorological science, empirical eigen function ... See full document
18
STUDY ON THE DELAY OF UAV DATA LINK BASED ON DARKROOM CALIBRATE LINK METHOD
... the Chinese Remainder Theorem for reverse conversion and the accumulator includes an adder unit which can make use of any of the conventional adders that depends on the moduli of the RNS being ... See full document
57
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
... A topic consists of a sequence of related events associated with a specific time, place, and person(s) (Nallapati et al., 2004). Topics that involve bipolar (or competitive) viewpoints are often attention-getting ... See full document
11
Chemometric Feature Selection and Classification of Ganoderma lucidum Spores and Fruiting Body Using ATR FTIR Spectroscopy
... discriminant analysis (PDA) model was developed to identify informative spectral features for distinguishing between spores and fruiting body of ...using principal component discriminant ... See full document
104
Kernel Eigenfaces Framework for Feature Extraction and Face Recognition
... describes principal component analysis (PCA), and linear discriminant analysis (LDA) method, and their algorithms whereas section III describes kernel principal component ... See full document
8
Total luminescence spectroscopy for differentiating between brandies and wine distillates
... Mathematical analysis of data. PCA and HCA were applied to the fluorescence spectra to inves- tigate the differences between the samples. PCA is an unsupervised (we have no prior knowledge of the groups to be ... See full document
83
Real time face matching with multiple cameras using principal component analysis
... Table Contents of Acknowledgements in Abstract iv Table of Contents List of Figures List of Tables V vii X Glossary 1 xi Introduction 1 Motivation 3 Problem Statement 4 Outline 6 2.0 Bac[r] ... See full document
213
The Principal Component Analysis of Element Contents in Chinese Herbs of the Caine Kidney Mixture
... empirical analysis shows that the subject was not familiar with the use of the Bluetooth ball in the 3 practices of the first week, causing repetitive restarts of the game, and gaining no score in the first 2 ... See full document
115
Chinese remainder theorem and its applications
... the Chinese Remainder Theorem is found as a mind-reading trick to impress the ...last remainder 23 is the ...the Chinese Remainder Theorem with three ... See full document
151
Multicast Authentication Framework for Hierarchical Networks using Chinese Remainder Theorem
... For dense deployment of sensor nodes required in many environ- mental monitoring applications, an hierarchical network organiza- tion offers distinct advantages over flat networks. Broadcast and multicast, being the ... See full document
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