Steven J. Simske's Books

Meta-Algorithmics

Patterns for Robust, Low Cost, High Quality Systems

By: Steven J. Simske

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Meta-Algorithmics

Patterns for Robust, Low Cost, High Quality Systems

By: Steven J. Simske

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity. This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important system parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processing which is shown to consist primarily of task and component parallelism; before introducing meta-algorithmic parallelism which is based on combining two or more algorithms, classification engines or other systems. Key features: Explains the entire roadmap for the design, testing, development, refinement, deployment and statistics-driven optimization of building systems for intelligence Offers an accessible yet thorough overview of machine intelligence, in addition to having a strong image processing focus Contains design patterns for parallelism, especially meta-algorithmic parallelism – simply conveyed, reusable and proven effective that can be readily included in the toolbox of experts in analytics, system architecture, big data, security and many other science and engineering disciplines Connects algorithms and analytics to parallelism, thereby illustrating a new way of designing intelligent systems compatible with the tremendous changes in the computing world over the past decade Discusses application of the approaches to a wide number of fields; primarily, document understanding, image understanding, biometrics and security printing Companion website contains sample code and data sets

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Page Count

368

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118626699

ISBN 13

9781118626696

Fundamentals and Applications of Hardcopy Communication

Conveying Side Information by Printed Media

By: Joceli Mayer,Paulo V.K. Borges,Steven J. Simske

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Fundamentals and Applications of Hardcopy Communication

Conveying Side Information by Printed Media

By: Joceli Mayer,Paulo V.K. Borges,Steven J. Simske

This book presents covert, semi-covert and overt techniques for communication over printed media by modifying images, texts or barcodes within the document. Basic and advanced techniques are discussed aimed to modulate information into images, texts and barcodes. Conveying information over printed media can be useful for content authentication, author copyright, information and piracy product deterrent, side information for marketing, among other applications. Practical issues are discussed and experiments are provided to evaluate competitive approaches for hard-copy communication. This book is a useful resource for researchers, practitioners and graduate students in the field of hard-copy communication by providing the fundamentals, basic and advanced techniques as examples of approaches to address the hard-copy media distortions and particularities.

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Page Count

142

Publisher

Springer

Published Date

ISBN 10

3319740830

ISBN 13

9783319740836

Meta-Analytics

Consensus Approaches and System Patterns for Data Analysis

By: Steven Simske

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Meta-Analytics

Consensus Approaches and System Patterns for Data Analysis

By: Steven Simske

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. - Provides comprehensive and systematic coverage of machine learning-based data analysis tasks - Enables rapid progress towards competency in data analysis techniques - Gives exhaustive and widely applicable patterns for use by data scientists - Covers hybrid or 'meta' approaches, along with general analytics - Lays out information and practical guidance on data analysis for practitioners working across all sectors

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Page Count

342

Publisher

Morgan Kaufmann

Published Date

ISBN 10

0128146249

ISBN 13

9780128146248

Book's by Steven J. Simske

Meta-Algorithmics

Meta-Algorithmics

Fundamentals and Applications of Hardcopy Communication

Fundamentals and Applications of Hardcopy Communication

Meta-Analytics

Meta-Analytics

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