The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! Robotics provides the basic …
Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A …
The book is a great introduction to system design issues that are only taught at few courses in few universities. …
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop …
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus …
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in …
Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a …
This guy does a great job of balancing tech with down to earth understanding. I used this book in my …
Fundamental data structures in a consistent object-oriented frameworkNow revised to reflect the innovations of Java 5.0, Goodrich and Tamassia's Fourth …
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science …
If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help …
Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, …
As the computer industry changes from single-processor to multiprocessor architectures, this revolution requires a fundamental change in how programs are …
Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to …
Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" …
Узнать обо всех OpenCL Архитектура и основные API.Узнать OpenCL программирования с простых примеров из Обработки Изображений, Распознавания образов и Статистики …
Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in …
This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in …
Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and …
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled …
This book is an edited collection of chapters written by knowledgeable researchers in the field of evolutionary computation. The collection …
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the …
This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that …
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only …
Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to …
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an …
The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits …
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