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Medical Computer Vision: Algorithms for Big Data

: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical;

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Medical Computer Vision: Algorithms for Big Data

: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical;

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Computer Vision in Advanced Control Systems-5

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;

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Computer Vision in Advanced Control Systems-5

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such;

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Advanced Machine Vision Paradigms for Medical Image Analysis

specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to;

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Data Science and Security

learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and;

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Applications of Big Data in Large- and Small-Scale Systems

demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle;

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Applications of Big Data in Large- and Small-Scale Systems

demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle;

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Computer Vision and Recognition Systems

improvement, Parkinson's disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image;

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Handbook of Data Science Approaches for Biomedical Engineering

management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis;

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Computer Vision Research Progress

sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to;

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Computer Vision In Medical Imaging

trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision;

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Nature-Inspired Algorithms for Big Data Frameworks

mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection;

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Computer Vision for Visual Effects

Vision for Visual Effects will educate students, engineers and researchers about the fundamental computer vision principles and state-of-the-art;

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Pattern Recognition And Big Data

, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data;

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Computer Vision in Control Systems-6

. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.;

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Computer Vision in Control Systems 6

. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.;

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Learning OpenCV

make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis;

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Cognitive Internet of Medical Things for Smart Healthcare

Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled;

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Image Processing and Analysis with Graphs

vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications;

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Green Computing and Predictive Analytics for Healthcare

Computer Vision, AI/ML, Cloud Computing, Big Data and Security.;

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Computer Vision: Principles, Algorithms, Applications, Learning

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and;

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