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The Stress Management Handbook: A Practical Guide to Staying Calm, Keeping Cool, and Avoiding Blow-Ups
The Stress Management Handbook: A Practical Guide to Staying Calm, Keeping Cool, and Avoiding Blow-Ups
Shift negativity into positivity in seconds.

Happiness comes from getting what we want, be it love, recognition, money, and support, among others. But most people, in their search for happiness, find themselves pleasing everyone else over themselves until they end up with feelings of resentment, frustration, and
...
Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)
Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

Introduction to Biometrics
Introduction to Biometrics
A number of crucial societal applications like international border crossing, electronic commerce, and welfare disbursement require reliable person recognition systems. Traditional person authentication methods based on passwords and identity documents often fail to meet the stringent security and performance demands of these...
Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)
Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)
Discussion on the nature of intelligence long pre-dated the development of the
electronic computer, but along with that development came a renewed burst of investigation
into what an artificial intelligence would be. There is still no consensus on how
to define artificial intelligence: Early definitions tended to discuss the type of
...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial Intelligence)
Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial Intelligence)
The aim of this book is to provide an up-to-date review of different approaches to classification,
compare their performance on a wide range of challenging data-sets, and draw
conclusions on their applicability to realistic industrial problems.

Before describing the contents, we first need to define what we mean by
...
2D Object Detection and Recognition: Models, Algorithms, and Networks
2D Object Detection and Recognition: Models, Algorithms, and Networks
This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural...
Neural Networks and Pattern Recognition
Neural Networks and Pattern Recognition
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement...
Statistical Pattern Recognition
Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval,...

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