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Machine Learning based Natural Scene Recognition for Mobile Robot Localization i

This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Intelligent Robotics and Applications

function rehabilitation; pattern recognition and machine learning; navigationlocalization. Part V: robot legged locomotion; advanced;

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Machine Learning Deep Learning and Computational Intelligence for Wireless Comm

mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor;

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Biomedical Applications Based on Natural and Artificial Computing

computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics;

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Design of a Mobile Robot Vision

could not use a real robot and for general testing purpose, we developed a real mono camera based vision acquisition system and a virtual acting;

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Natural and Artificial Computation for Biomedicine and Neuroscience

computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics;

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Artificial Intelligence for Robotics

robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient;

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Introduction to Statistical Machine Learning

machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas;

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Introduction to Mobile Robot Control

Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non;

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Advanced Image and Video Processing Using MATLAB

methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on;

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Indoor Scene Recognition by 3-D Object Search

recognition sufficiently well for them to act independently in human-centered environments. To achieve accurate yet versatile indoor scene recognition;

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Indoor Scene Recognition by 3-D Object Search

recognition sufficiently well for them to act independently in human-centered environments. To achieve accurate yet versatile indoor scene recognition;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

This book presents the development of SLAM-based mobile robot control systems as an integrated approach that combines the localization;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

This book presents the development of SLAM-based mobile robot control systems as an integrated approach that combines the localization;

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Modern Perspectives of Mobile Robot Systems

of robots for educational purposes, hardware composition, healthcare and medical robots, and localization as well as navigation. It also provides;

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Intelligent Robotics and Applications

planning; robotic vision, recognition and reconstruction; and robot intelligence and learning.;

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Deep Learning with Theano

Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial;

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Machine Learning for Speaker Recognition

directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers;

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Introduction To Autonomous Mobile Robots

robot to move through a real world environment to perform its tasks--including locomotion, sensing, localization, and motion planning. It;

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Machine Learning for Protein Subcellular Localization Prediction

strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature;

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Speech Recognition Based on Voip Coding

scene, automatic speech recognition is a promising way for an easy and natural user access to network services. However, mobile devices are;

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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;

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