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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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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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Advances in Visual Computing

This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV;

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Convolutional Neural Networks in Visual Computing

guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;

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Convolutional Neural Networks in Visual Computing

guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;

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Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep;

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Soft Computing in Data Science

organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation;

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Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement;

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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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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were;

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Deep Learning for Personalized Healthcare Services

learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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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 Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Advances in Visual Computing

This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing;

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Advances in Visual Computing

This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing;

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Soft Computing Systems

organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data;

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Computer Vision - ECCV 2016 Workshops

Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene;

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Cognitive Computing Using Green Technologies

, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies;

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Deep Network Design for Medical Image Computing

principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and;

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Recent Studies on Computational Intelligence

Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm;

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