Subspace Learning of Neural Networks

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Publisher : CRC Press
ISBN 13 : 1439815364
Total Pages : 248 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Subspace Learning of Neural Networks by : Jian Cheng Lv

Download or read book Subspace Learning of Neural Networks written by Jian Cheng Lv and published by CRC Press. This book was released on 2018-09-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors.

Neural Networks and Statistical Learning

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Author :
Publisher : Springer Nature
ISBN 13 : 1447174526
Total Pages : 988 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.

Multilinear Subspace Learning

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Publisher : CRC Press
ISBN 13 : 1439857296
Total Pages : 293 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multilinear Subspace Learning by : Haiping Lu

Download or read book Multilinear Subspace Learning written by Haiping Lu and published by CRC Press. This book was released on 2013-12-11 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniqu

Artificial Neural Networks and Machine Learning - ICANN 2011

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Publisher : Springer Science & Business Media
ISBN 13 : 3642217370
Total Pages : 492 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Artificial Neural Networks and Machine Learning - ICANN 2011 by : Timo Honkela

Download or read book Artificial Neural Networks and Machine Learning - ICANN 2011 written by Timo Honkela and published by Springer Science & Business Media. This book was released on 2011-06-14 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Handbook on Neural Information Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 3642366570
Total Pages : 547 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Handbook on Neural Information Processing by : Monica Bianchini

Download or read book Handbook on Neural Information Processing written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2013-04-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

Subspace Decomposition and Tracking Using Artificial Neural Networks

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Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (221 download)

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Book Synopsis Subspace Decomposition and Tracking Using Artificial Neural Networks by : Prithiviraj Tissainayagam

Download or read book Subspace Decomposition and Tracking Using Artificial Neural Networks written by Prithiviraj Tissainayagam and published by . This book was released on 1994 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Networks

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Author :
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 688 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Artificial Neural Networks by : Pankaj Mehra

Download or read book Artificial Neural Networks written by Pankaj Mehra and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1992 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Networks in a Softcomputing Framework

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Publisher : Springer Science & Business Media
ISBN 13 : 1846283035
Total Pages : 610 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Neural Networks in a Softcomputing Framework by : Ke-Lin Du

Download or read book Neural Networks in a Softcomputing Framework written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Neural Networks and Statistical Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 1447155718
Total Pages : 834 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Artificial Neural Networks – ICANN 2009

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Publisher : Springer Science & Business Media
ISBN 13 : 3642042732
Total Pages : 1062 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Artificial Neural Networks – ICANN 2009 by : Cesare Alippi

Download or read book Artificial Neural Networks – ICANN 2009 written by Cesare Alippi and published by Springer Science & Business Media. This book was released on 2009-09-03 with total page 1062 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Advances in Neural Networks - ISNN 2006

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Publisher : Springer Science & Business Media
ISBN 13 : 3540344373
Total Pages : 1470 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Neural Networks - ISNN 2006 by : Jun Wang

Download or read book Advances in Neural Networks - ISNN 2006 written by Jun Wang and published by Springer Science & Business Media. This book was released on 2006-05-12 with total page 1470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

Computational Linguistics and Intelligent Text Processing

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Publisher : Springer
ISBN 13 : 3642286011
Total Pages : 540 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh

Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2012-03-06 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.

Advances in Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3540877312
Total Pages : 939 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Advances in Neural Networks by : Fuchun Sun

Download or read book Advances in Neural Networks written by Fuchun Sun and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt: (Bayreuth University, Germany), Jennie Si (Arizona State University, USA), and Hang Li (MicrosoftResearchAsia, China). Besides the regularsessions andpanels, ISNN 2008 also featured four special sessions focusing on some emerging topics.

Advances in Neural Networks -- ISNN 2011

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Publisher : Springer Science & Business Media
ISBN 13 : 3642210899
Total Pages : 665 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Neural Networks -- ISNN 2011 by : Derong Liu

Download or read book Advances in Neural Networks -- ISNN 2011 written by Derong Liu and published by Springer Science & Business Media. This book was released on 2011-05-10 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Learning Approaches in Signal Processing

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Publisher : CRC Press
ISBN 13 : 0429592264
Total Pages : 678 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Learning Approaches in Signal Processing by : Wan-Chi Siu

Download or read book Learning Approaches in Signal Processing written by Wan-Chi Siu and published by CRC Press. This book was released on 2018-12-07 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc.

Computer Analysis of Images and Patterns

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Publisher : Springer Nature
ISBN 13 : 3030298914
Total Pages : 596 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Mario Vento

Download or read book Computer Analysis of Images and Patterns written by Mario Vento and published by Springer Nature. This book was released on 2019-08-23 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 11678 and 11679 constitutes the refereed proceedings of the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019. The 106 papers presented were carefully reviewed and selected from 176 submissions The papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters.

Principles of Neurocomputing for Science and Engineering

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Publisher : McGraw-Hill Science, Engineering & Mathematics
ISBN 13 :
Total Pages : 680 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Principles of Neurocomputing for Science and Engineering by : Fredric M. Ham

Download or read book Principles of Neurocomputing for Science and Engineering written by Fredric M. Ham and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 2000 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.