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Face Recognition

; principal component analysis (PCA) and artificial immune networks in face recognition; multi-class learning facial age estimation and forensic face;

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Principal Component Analysis Networks and Algorithms

in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic;

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Principal Component Neural Networks

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination;

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Principal Component Analysis

Principal Component Analysis is een boek van Nova Science Publishers;

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Principal Component Analysis

The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of principal component;

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Guide to Medical Image Analysis: Methods and Algorithms

labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.;

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Elements of Distributed Algorithms

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;

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Diverse Applications of Principal Component Analysis

This book emphasizes on the diverse applications of principal component analysis. The aim of this book is to enhance knowledge;

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Independent Component Analysis

A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Computational Methods With Applications in Bioinformatics Analysis

, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations;

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Statistics and Neural Networks

principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their;

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Principal Component Analysis

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates;

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Principal Component Analysis

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates;

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Principal Component Analysis

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Principal Component Analysis

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Principal Component Analysis

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Algorithms for Sensor Systems

, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation;

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Algorithms for Sensor Systems

, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation;

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Principal Component Analysis Handbook

This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical;

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Network Algorithms, Data Mining, and Applications

analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission;

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Network Algorithms, Data Mining, and Applications

analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission;

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Complex Networks

of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph;

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Complex Networks

of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph;

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Statistical Analysis of Graph Structures in Random Variable Networks

through a theoretical analysis that identifies network structures. Both researchers and graduate students in computer science, mathematics, and;

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Data-Variant Kernel Analysis

techniques, such as Neural Networks (NN), Support Vector Machines (SVM), and Principal Component Analysis (PCA) * Develops group kernel analysis with;

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Algorithms for Sensor Systems

selected from 30 submissions. The deal with algorithms analysis and problem complexity; computer communication networks; computation by abstract;

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