Kernel Learning Algorithms for Face Recognition, Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan
Автор: Principe Jose C Название: Kernel Adaptive Filtering ISBN: 0470447532 ISBN-13(EAN): 9780470447536 Издательство: Wiley Рейтинг: Цена: 111880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.
Автор: Karl Tombre; Atul K. Chhabra Название: Graphics Recognition: Algorithms and Systems ISBN: 3540643818 ISBN-13(EAN): 9783540643814 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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 Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Motai Yuichi Название: Data-Variant Kernel Analysis ISBN: 111901932X ISBN-13(EAN): 9781119019329 Издательство: Wiley Рейтинг: Цена: 119270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Рейтинг: Цена: 118220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319056298 ISBN-13(EAN): 9783319056296 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319379658 ISBN-13(EAN): 9783319379654 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Labrador, Miguel A. Название: Human Activity Recognition ISBN: 1466588276 ISBN-13(EAN): 9781466588271 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Невозможна поставка. Описание:
Learn How to Design and Implement HAR Systems
The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors--a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations.
Developed from the authors' nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user's activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
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 Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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