Kernel Learning Algorithms for Face Recognition, Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan

Автор: Motai Yuichi
Название: Data-Variant Kernel Analysis
ISBN: 111901932X ISBN-13(EAN): 9781119019329
Издательство: Wiley
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Цена: 17891.00 р.
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Описание: Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications.

Автор: Rojo-?lvarez
Название: Digital Signal Processing with Kernel Methods
ISBN: 1118611799 ISBN-13(EAN): 9781118611791
Издательство: Wiley
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Цена: 17733.00 р.
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Описание: A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems

Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research.

Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http: //github.com/DSPKM

- Presents the necessary basic ideas from both digital signal processing and machine learning concepts
- Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing
- Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing

An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.

Автор: Shi Yu; L?on-Charles Tranchevent; Bart Moor; Yves
Название: Kernel-based Data Fusion for Machine Learning
ISBN: 3642267513 ISBN-13(EAN): 9783642267512
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Data fusion problems arise in many different fields. This book provides a specific introduction to solve data fusion problems using support vector machines. The reader will require a good knowledge of data mining, machine learning and linear algebra.

Автор: Principe Jose C
Название: Kernel Adaptive Filtering
ISBN: 0470447532 ISBN-13(EAN): 9780470447536
Издательство: Wiley
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Цена: 16782.00 р.
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Описание: * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.

Автор: Pradipta Maji; Sushmita Paul
Название: Scalable Pattern Recognition Algorithms
ISBN: 3319379658 ISBN-13(EAN): 9783319379654
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.

Автор: Karl Tombre; Atul K. Chhabra
Название: Graphics Recognition: Algorithms and Systems
ISBN: 3540643818 ISBN-13(EAN): 9783540643814
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Constitutes the post-workshop proceedings of Second International Workshop on Graphics Recognition, GREC`97, held in Nancy, France, in August 1997. This book is divided into sections on vectorization and segmentation, symbol recognition, form processing, map processing, engineering drawings, applications and systems, and performance evaluation.

Автор: Ricardo Louren?o; Nuno Louren?o; Nuno Horta
Название: AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
ISBN: 3319159542 ISBN-13(EAN): 9783319159546
Издательство: Springer
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Цена: 9141.00 р.
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Описание: The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.

Автор: Pradipta Maji; Sushmita Paul
Название: Scalable Pattern Recognition Algorithms
ISBN: 3319056298 ISBN-13(EAN): 9783319056296
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.