Pattern Recognition and Machine Learning

Author: Christopher M. Bishop

Publisher: Springer


Category: Computers

Page: 738

View: 988

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Media Production, Delivery and Interaction for Platform Independent Systems

Format-Agnostic Media

Author: Oliver Schreer

Publisher: John Wiley & Sons


Category: Technology & Engineering

Page: 392

View: 843

Presents current trends and potential future developments byleading researchers in immersive media production, delivery,rendering and interaction The underlying audio and video processing technology that isdiscussed in the book relates to areas such as 3D objectextraction, audio event detection; 3D sound rendering and facedetection, gesture analysis and tracking using video and depthinformation. The book will give an insight into current trends anddevelopments of future media production, delivery and reproduction.Consideration of the complete production, processing anddistribution chain will allow for a full picture to be presented tothe reader. Production developments covered will include integratedworkflows developed by researchers and industry practitioners aswell as capture of ultra-high resolution panoramic video and 3Dobject based audio across a range of programme genres. Distributiondevelopments will include script based format agnostic networkdelivery to a full range of devices from large scale publicpanoramic displays with wavefield synthesis and ambisonic audioreproduction to ’small screen’ mobile devices. Keydevelopments at the consumer end of the chain apply to both passiveand interactive viewing modes and will incorporate user interfacessuch as gesture recognition and ‘second screen’ devicesto allow manipulation of the audio visual content. Presents current trends and potential future developments byleading researchers in immersive media production, delivery,rendering and interaction. Considers the complete production, processing and distributionchain illustrating the dependencies and the relationship betweendifferent components. Proposes that a format-agnostic approach to the production anddelivery of broadcast programmes will overcome the problems facedwith the steadily growing number of production and deliveryformats. Explains the fundamentals of media production in addition tothe complete production chain, beyond current-state-of-the-artthrough to presenting novel approaches and technologies for futuremedia production. Focuses on the technologies that will allow for the realizationof an E2E media platform that supports flexible contentrepresentations and interactivity for users. An essential read for Researchers and developers of audio-visualtechnology in industry and academia, such as engineers in broadcasttechnology companies and students working toward a career in therapidly changing area of broadcast both from a production and anengineering perspective.

Innovations in Classification, Data Science, and Information Systems

Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003

Author: Daniel Baier

Publisher: Springer Science & Business Media


Category: Language Arts & Disciplines

Page: 616

View: 627

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

Handbook of Finite State Based Models and Applications

Author: Jiacun Wang

Publisher: CRC Press


Category: Computers

Page: 409

View: 705

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and Applications provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area. The book first introduces the fundamentals of automata theory, including regular expressions, as well as widely used automata, such as transducers, tree automata, quantum automata, and timed automata. It then presents algorithms for the minimization and incremental construction of finite automata and describes Esterel, an automata-based synchronous programming language for embedded system software development. Moving on to applications, the book explores regular path queries on graph-structured data, timed automata in model checking security protocols, pattern matching, compiler design, and XML processing. It also covers other finite state-based modeling approaches and applications, including Petri nets, statecharts, temporal logic, and UML state machine diagrams.

Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings

Author: Niels da Vitoria Lobo

Publisher: Springer Science & Business Media


Category: Computers

Page: 1011

View: 123

This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.

Future Wireless Networks and Information Systems

Author: Ying Zhang

Publisher: Springer Science & Business Media


Category: Technology & Engineering

Page: 764

View: 608

This volume contains revised and extended research articles written by prominent researchers participating in the ICF4C 2011 conference. 2011 International Conference on Future Communication, Computing, Control and Management (ICF4C 2011) has been held on December 16-17, 2011, Phuket, Thailand. Topics covered include intelligent computing, network management, wireless networks, telecommunication, power engineering, control engineering, Signal and Image Processing, Machine Learning, Control Systems and Applications, The book will offer the states of arts of tremendous advances in Computing, Communication, Control, and Management and also serve as an excellent reference work for researchers and graduate students working on Computing, Communication, Control, and Management Research.

Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

Author: Pedro Latorre Carmona

Publisher: Springer Science & Business Media


Category: Science

Page: 196

View: 234

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.

Multiple Classifier Systems

6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings

Author: Nikunj C. Oza

Publisher: Springer Science & Business Media


Category: Computers

Page: 430

View: 481

This book constitutes the refereed proceedings of the 6th International Workshop on Multiple Classifier Systems, MCS 2005, held in Seaside, CA, USA in June 2005. The 42 revised full papers presented were carefully reviewed and are organized in topical sections on boosting, combination methods, design of ensembles, performance analysis, and applications. They exemplify significant advances in the theory, algorithms, and applications of multiple classifier systems – bringing the different scientific communities together.

Rough Sets: Selected Methods and Applications in Management and Engineering

Author: Georg Peters

Publisher: Springer Science & Business Media


Category: Computers

Page: 214

View: 348

Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets. Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.

Pattern Recognition and Neural Networks

Author: Brian D. Ripley

Publisher: Cambridge University Press


Category: Computers

Page: 403

View: 799

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them.