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  • Data Compression for Data Mining Algorithms

    by Xiaochun Wang ...
    Data Compression for Data Mining Algorithms tackles the important problems in the design of more efficient data mining algorithms by way of data compression techniques and provides the first systematic and comprehensive description of the relationships between data compression mechanisms and the computations involved in data mining algorithms. Data mining algorithms are powerful analytical ... Read more

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  • Anomaly Detection in Video Surveillance

    by Xiaochun Wang ...
    Series series Cognitive Intelligence and Robotics
    Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value. The key advantage of writing the book at this point in time is that the vast amount of work done by computer scientists over the last few decades has remained largely untouched by a formal book on the subject, although these ... Read more

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  • New Developments in Unsupervised Outlier Detection

    Algorithms and Applications

    Series series Intelligent Technologies and Robotics (R0)
    This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and ... Read more

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  • Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

    Series series Intelligent Technologies and Robotics (R0)
    This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient ... Read more

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  • Deep Learning for Vision Systems

    How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.SummaryComputer vision ... Read more

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  • Deep Belief Nets in C++ and CUDA C: Volume 2

    Autoencoding in the Complex Domain

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    This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying ... Read more

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