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Deep Learning in Mining of Visual Content

This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The;

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural;

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Essentials of Teaching and Integrating Visual and Media Literacy

of media in learning diverse and challenging content across disciplines. Finally, this book provides a balanced treatment of how visual and media;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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Advances in Knowledge Discovery and Data Mining

related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering;

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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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Content-Based Image Classification

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to;

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Deep Learning for Personalized Healthcare Services

, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language;

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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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Deep Learning and Convolutional Neural Networks for Medical Image Computing

using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale;

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Computational Methods for Deep Learning

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content;

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Computational Methods for Deep Learning

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content;

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Handbook on Neural Information Processing

classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and;

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R Deep Learning Cookbook

mining * Explore application of deep learning in signal processing * Utilize Transfer learning for utilizing pre-trained model * Train a deep;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Learn Data Mining Through Excel

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Artificial Intelligence in Bioinformatics

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the;

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Deep Learning through Sparse and Low-Rank Modeling

variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for;

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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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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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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