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This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects ...Savoir plus
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This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how t...Savoir plus
With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly rel...Savoir plus
The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part ...Savoir plus
The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common for...Savoir plus
This work is the definitive guide for IT managers and agile practitioners. It elucidates the principles of agile risk management and how these relate ...Savoir plus
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In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the...Savoir plus
In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the cap...Savoir plus
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge s...Savoir plus
In the last few years, there has been extensive research activity in the emerging area of Intermittently Connected Mobile Ad Hoc Networks (ICMANs). By...Savoir plus
Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for comput...Savoir plus
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