Andrzej Cichocki's Books

Workflow and Process Automation

Concepts and Technology

By: Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk

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Workflow and Process Automation

Concepts and Technology

By: Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk

Based on the results of the study carried out in 1996 to investigate the state of the art of workflow and process technology, MCC initiated the Collaboration Management Infrastructure (CMI) research project to develop innovative agent-based process technology that can support the process requirements of dynamically changing organizations and the requirements of nomadic computing. With a research focus on the flow of interaction among people and software agents representing people, the project deliverables will include a scalable, heterogeneous, ubiquitous and nomadic infrastructure for business processes. The resulting technology is being tested in applications that stress an intensive mobile collaboration among people as part of large, evolving business processes. Workflow and Process Automation: Concepts and Technology provides an overview of the problems and issues related to process and workflow technology, and in particular to definition and analysis of processes and workflows, and execution of their instances. The need for a transactional workflow model is discussed and a spectrum of related transaction models is covered in detail. A plethora of influential projects in workflow and process automation is summarized. The projects are drawn from both academia and industry. The monograph also provides a short overview of the most popular workflow management products, and the state of the workflow industry in general. Workflow and Process Automation: Concepts and Technology offers a road map through the shortcomings of existing solutions of process improvement by people with daily first-hand experience, and is suitable as a secondary text for graduate-level courses on workflow and process automation, and as a reference for practitioners in industry.

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125

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Springer Science & Business Media

Published Date

ISBN 10

1461556775

ISBN 13

9781461556770

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

Analysis and Design

By: Rolf Unbehauen,Andrzej Cichocki

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MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

Analysis and Design

By: Rolf Unbehauen,Andrzej Cichocki

The purpose of this book is to present analysis and design principles, procedures and techniques of analog integrated circuits which are to be implemented in MOS (metal oxide semiconductor) technology. MOS technology is becoming dominant in the realization of digital systems, and its use for analog circuits opens new pos sibilities for the design of complex mixed analog/digital VLSI (very large scale in tegration) chips. Although we are focusing attention in this book principally on circuits and systems which can be implemented in CMOS technology, many con siderations and structures are of a general nature and can be adapted to other promising and emerging technologies, namely GaAs (Gallium Arsenide) and BI MOS (bipolar MOS, i. e. circuits which combine both bipolar and CMOS devices) technology. Moreover, some of the structures and circuits described in this book can also be useful without integration. In this book we describe two large classes of analog integrated circuits: • switched capacitor (SC) networks, • continuous-time CMOS (unswitched) circuits. SC networks are sampled-data systems in which electric charges are transferred from one point to another at regular discrete intervals of time and thus the signal samples are stored and processed. Other circuits belonging to this class of sampled-data systems are charge transfer devices (CTD) and charge coupled dev ices (CCD). In contrast to SC circuits, continuous-time CMOS circuits operate continuously in time. They can be considered as subcircuits or building blocks (e. g.

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645

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642836771

ISBN 13

9783642836770

Nonnegative Matrix and Tensor Factorizations

Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

By: Andrzej Cichocki,Rafal Zdunek,Anh Huy Phan,Shun-ichi Amari

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Nonnegative Matrix and Tensor Factorizations

Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

By: Andrzej Cichocki,Rafal Zdunek,Anh Huy Phan,Shun-ichi Amari

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and image processing, and data analysis, having garnered interest due to their capability to provide new insights and relevant information about the complex latent relationships in experimental data sets. It is suggested that NMF can provide meaningful components with physical interpretations; for example, in bioinformatics, NMF and its extensions have been successfully applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining. As such, the authors focus on the algorithms that are most useful in practice, looking at the fastest, most robust, and suitable for large-scale models. Key features: Acts as a single source reference guide to NMF, collating information that is widely dispersed in current literature, including the authors’ own recently developed techniques in the subject area. Uses generalized cost functions such as Bregman, Alpha and Beta divergences, to present practical implementations of several types of robust algorithms, in particular Multiplicative, Alternating Least Squares, Projected Gradient and Quasi Newton algorithms. Provides a comparative analysis of the different methods in order to identify approximation error and complexity. Includes pseudo codes and optimized MATLAB source codes for almost all algorithms presented in the book. The increasing interest in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential reading for engineers, scientists, researchers, industry practitioners and graduate students across signal and image processing; neuroscience; data mining and data analysis; computer science; bioinformatics; speech processing; biomedical engineering; and multimedia.

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Page Count

500

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470747285

ISBN 13

9780470747285

Adaptive Blind Signal and Image Processing

Learning Algorithms and Applications

By: Andrzej Cichocki,Shun-ichi Amari

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Adaptive Blind Signal and Image Processing

Learning Algorithms and Applications

By: Andrzej Cichocki,Shun-ichi Amari

Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.

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Page Count

596

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471607916

ISBN 13

9780471607915

2000 4th International Conference on Algorithms and Architectures for Parallel Processing

By: Andrzej Go?ci?ski

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2000 4th International Conference on Algorithms and Architectures for Parallel Processing

By: Andrzej Go?ci?ski

ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.

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Page Count

745

Publisher

World Scientific

Published Date

ISBN 10

9810244819

ISBN 13

9789810244811

Electromagnetic Field, Health and Environment

Proceedings of EHE'07

By: Andrzej Krawczyk

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Electromagnetic Field, Health and Environment

Proceedings of EHE'07

By: Andrzej Krawczyk

Electromagnetic Field, Health and Environment mirrors the image of the EHE 07 conference which attracted people investigating the phenomenon of interaction of electromagnetic field and biological objects. This book tries to enlighten the problem with the use of scientifically founded facts kept within methodological discipline. The particular targets of the book can be briefly summarized as reviewing, presenting and discussing innovations in computer modeling, measurement and simulation of bioelectromagnetic phenomena, analyzing physical and biological aspects of bioelectromagnetic phenomena, and discussing environmental safety and policy issues as well as relevant international standards. The book is divided into five chapters of which the first three chapters deal with the electromagnetic field in combination with environment, health and biology respectively. The fourth chapter focuses on computer simulation in bioelectromagnetics, whereas the fifth chapter sees to the electromagnetic field in policy and standards. An additional three contributions are included: the first contribution shows the brief essay on Heinrich Rudolf Hertz in which the occasion of his birth 150 years ago is celebrated. The second summarizes the long-lasting research in magnetic stimulation and bioimaging and the third one considers some theoretical aspects of electromagnetic field.

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Page Count

288

Publisher

IOS Press

Published Date

ISBN 10

1586038605

ISBN 13

9781586038601

Granular Computing

An Introduction

By: Andrzej Bargiela,Witold Pedrycz

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Granular Computing

An Introduction

By: Andrzej Bargiela,Witold Pedrycz

This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures.

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Page Count

484

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1402072732

ISBN 13

9781402072734

Adaptive Blind Signal and Image Processing

Learning Algorithms and Applications

By: Andrzej Cichocki,Shun-ichi Amari

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Adaptive Blind Signal and Image Processing

Learning Algorithms and Applications

By: Andrzej Cichocki,Shun-ichi Amari

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596

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John Wiley & Sons

Published Date

ISBN 10

0471607916

ISBN 13

9780471607915

Nonnegative Matrix and Tensor Factorizations

Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

By: Andrzej Cichocki,Rafal Zdunek,Anh Huy Phan,Shun-ichi Amari

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Nonnegative Matrix and Tensor Factorizations

Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

By: Andrzej Cichocki,Rafal Zdunek,Anh Huy Phan,Shun-ichi Amari

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500

Publisher

Wiley

Published Date

ISBN 10

0470746661

ISBN 13

9780470746660

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 2 Applications and Future Perspectives

By: Andrzej Cichocki,Namgil Lee,Anh-Huy Phan,Ivan Oseledets,Qibin Zhao,Danilo P. Mandic

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Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 2 Applications and Future Perspectives

By: Andrzej Cichocki,Namgil Lee,Anh-Huy Phan,Ivan Oseledets,Qibin Zhao,Danilo P. Mandic

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8

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Page Count

262

Published Date

ISBN 10

168083276X

ISBN 13

9781680832761

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 1 Low-Rank Tensor Decompositions

By: Andrzej Cichocki,Namgil Lee,Ivan Oseledets,Anh-Huy Phan,Qibin Zhao,Danilo P. Mandic

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Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 1 Low-Rank Tensor Decompositions

By: Andrzej Cichocki,Namgil Lee,Ivan Oseledets,Anh-Huy Phan,Qibin Zhao,Danilo P. Mandic

This monograph provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale multidimensional data. It demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.

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Page Count

196

Published Date

ISBN 10

1680832220

ISBN 13

9781680832228

Workflow and Process Automation

Concepts and Technology

By: Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk

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Workflow and Process Automation

Concepts and Technology

By: Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk

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Solve jigsaw puzzle

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Page Count

125

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461556775

ISBN 13

9781461556770

Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Low-rank tensor decompositions

By: Andrzej Cichocki

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Low-rank tensor decompositions

By: Andrzej Cichocki

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning algorithms typically scale exponentially with data volume and complexity of cross-modal couplings - the so called curse of dimensionality - which is prohibitive to the analysis of large-scale, multi-modal and multi-relational datasets. Given that such data are often efficiently represented as multiway arrays or tensors, it is therefore timely and valuable for the multidisciplinary machine learning and data analytic communities to review low-rank tensor decompositions and tensor networks as emerging tools for dimensionality reduction and large scale optimization problems. Our particular emphasis is on elucidating that, by virtue of the underlying low-rank approximations, tensor networks have the ability to alleviate the curse of dimensionality in a number of applied areas. In Part 1 of this monograph we provide innovative solutions to low-rank tensor network decompositions and easy to interpret graphical representations of the mathematical operations on tensor networks. Such a conceptual insight allows for seamless migration of ideas from the flat-view matrices to tensor network operations and vice versa, and provides a platform for further developments, practical applications, and non-Euclidean extensions. It also permits the introduction of various tensor network operations without an explicit notion of mathematical expressions, which may be beneficial for many research communities that do not directly rely on multilinear algebra. Our focus is on the Tucker and tensor train (TT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide linearly or even super-linearly (e.g., logarithmically) scalable solutions, as illustrated in detail in Part 2 of this monograph.

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Page Count

180

Published Date

ISBN 10

1680832239

ISBN 13

9781680832235

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

Analysis and Design

By: Rolf Unbehauen,Andrzej Cichocki

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MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

Analysis and Design

By: Rolf Unbehauen,Andrzej Cichocki

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Solve jigsaw puzzle

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Page Count

645

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Springer Science & Business Media

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ISBN 10

3642836771

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9783642836770

Book's by Andrzej Cichocki

Workflow and Process Automation

Workflow and Process Automation

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

Nonnegative Matrix and Tensor Factorizations

Nonnegative Matrix and Tensor Factorizations

Adaptive Blind Signal and Image Processing

Adaptive Blind Signal and Image Processing

2000 4th International Conference on Algorithms and Architectures for Parallel Processing

2000 4th International Conference on Algorithms and Architectures for Parallel Processing

Electromagnetic Field, Health and Environment

Electromagnetic Field, Health and Environment

Granular Computing

Granular Computing

Adaptive Blind Signal and Image Processing

Adaptive Blind Signal and Image Processing

Nonnegative Matrix and Tensor Factorizations

Nonnegative Matrix and Tensor Factorizations

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Workflow and Process Automation

Workflow and Process Automation

Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Tensor Networks for Dimensionality Reduction and Large-scale Optimization

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems

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