Andrzej Cichocki

Adaptive Blind Signal and Image Processing

Learning Algorithms and Applications

Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effe...

Neural Networks for Optimization and Signal Processing

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create...

Nonnegative Matrix and Tensor Factorizations

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

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensi...

Workflow and Process Automation

Concepts and Technology

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 Collab...

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

Analysis and Design

The purpose of this book is to present analysis and design principles, procedures and techniques of analog integrated circuits which are to be impleme...

Workflow and Process Automation

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 Collab...

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 2 Applications and Future Perspectives

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussin...

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

Part 1 Low-Rank Tensor Decompositions

This monograph provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates...

Tensor Networks for Dimensionality Reduction and Large-scale Optimization

Low-rank tensor decompositions

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structura...

Neural Networks for Solving Linear Inequality Systems

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Adaptive Blind Signal and Image Processing

Theory and Applications, 2E

This book is a unification and extension of the theories behind adaptive blind signal and image processing, providing practical and efficient algorith...