Principal Manifolds For Data Visualization And Dimension Reduction

Author: Alexander N. Gorban
Editor: Springer Science & Business Media
ISBN: 3540737499
Size: 12,74 MB
Format: PDF, Docs
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In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data. The volume ends with a tutorial "PCA and K-means decipher genome". The book is meant to be useful for practitioners in applied data analysis in life sciences, engineering, physics and chemistry; it will also be valuable to PhD students and researchers in computer sciences, applied mathematics and statistics.

Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques

Author: Olivas, Emilio Soria
Editor: IGI Global
ISBN: 1605667676
Size: 14,79 MB
Format: PDF
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"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Data Management For Multimedia Retrieval

Author: K. Selçuk Candan
Editor: Cambridge University Press
ISBN: 1139489585
Size: 13,89 MB
Format: PDF, ePub, Mobi
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Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.

Advances In Data Analysis Data Handling And Business Intelligence

Author: Andreas Fink
Editor: Springer Science & Business Media
ISBN: 9783642010446
Size: 19,84 MB
Format: PDF
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Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Optimization With Pde Constraints

Author: Ronald Hoppe
Editor: Springer
ISBN: 3319080253
Size: 18,40 MB
Format: PDF
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This book on PDE Constrained Optimization contains contributions on the mathematical analysis and numerical solution of constrained optimal control and optimization problems where a partial differential equation (PDE) or a system of PDEs appears as an essential part of the constraints. The appropriate treatment of such problems requires a fundamental understanding of the subtle interplay between optimization in function spaces and numerical discretization techniques and relies on advanced methodologies from the theory of PDEs and numerical analysis as well as scientific computing. The contributions reflect the work of the European Science Foundation Networking Programme ’Optimization with PDEs’ (OPTPDE).

Some Issues With Dimensionality In Statistical Inference

Author: Donghui Yan
Editor:
ISBN:
Size: 14,38 MB
Format: PDF, ePub
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Deutsche Nationalbibliografie

Author: Die deutsche Nationalbibliothek
Editor:
ISBN:
Size: 11,68 MB
Format: PDF, ePub, Docs
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Computational Methods For Functional Characterization Of Visual Neurons

Author: Michael Chinkuo Wu
Editor:
ISBN:
Size: 12,56 MB
Format: PDF, ePub
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Sparse Representations For Radar With Matlab Examples

Author: Peter Knee
Editor: Morgan & Claypool Publishers
ISBN: 1627050345
Size: 14,61 MB
Format: PDF, ePub, Docs
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Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide bandwidth applications such as Digital TV, MRI processing, and certain defense applications. The potential signal processing advancements in this area may influence radar technologies. This book presents the basic mathematical concepts along with a number of useful MATLAB(r) examples to emphasize the practical implementations both inside and outside the radar field.

Hybrid Artificial Intelligence Systems

Author: Emilio Corchado
Editor: Springer Science & Business Media
ISBN: 3540876553
Size: 10,55 MB
Format: PDF, ePub, Docs
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This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.