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Visual Quality Assessment by Machine Learning

The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by;

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Symbolic Visual Learning

utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Stereoscopic Image Quality Assessment

This book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including;

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the;

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Machine Learning and Visual Perception

Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian;

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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen;

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Teaching Strategies That Create Assessment-Literate Learners

of assessment for learning, along with the five keys of quality assessment, in a practical vision of quality assessment used to support and certify;

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Applied Machine Learning

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;

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Advances in Distributed Computing and Machine Learning

International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and;

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Technical Advancements of Machine Learning in Healthcare

, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies;

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Selective Visual Attention

: * robot navigation and object selection * image and video quality assessment * image and video coding * Provides codes for users to apply;

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Machine Learning with Core ML

ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine;

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Quality of Teaching, Learning and Assessment in the EYFS

Quality of Teaching, Learning and Assessment in the EYFS is een boek van Jenny Barber;

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Advances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence;

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Advances in Machine Learning Applications in Software Engineering

establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for;

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Assessment Tools for Mapping Learning Outcomes With Learning Objectives

of quality assessment methods for measuring the outcomes of select learning processes on students. While highlighting topics such as quality;

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Learning-Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing;

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Computer Analysis of Images and Patterns

, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this;

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Spectroscopy and Machine Learning for Water Quality Analysis

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Children With Visual Impairment

with visual impairments. It is designed both as an introductory guide to assessment and provision. It also has a strong focus on social;

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Translation Quality Assessment

machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation;

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models;

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Human and Machine Learning

human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML;

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Image Quality Assessment of Computer generated Images

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic;

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Computational Trust Models and Machine Learning

learning techniques can improve the accuracy of trust assessment.;

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