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Pattern Recognition and Data Analysis with Applications (Hardcover, 1st ed. 2022)
Loot Price: R5,767
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Pattern Recognition and Data Analysis with Applications (Hardcover, 1st ed. 2022)
Series: Lecture Notes in Electrical Engineering, 888
Expected to ship within 10 - 15 working days
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This book covers latest advancements in the areas of machine
learning, computer vision, pattern recognition, computational
learning theory, big data analytics, network intelligence, signal
processing and their applications in real world. The topics covered
in machine learning involves feature extraction, variants of
support vector machine (SVM), extreme learning machine (ELM),
artificial neural network (ANN) and other areas in machine
learning. The mathematical analysis of computer vision and pattern
recognition involves the use of geometric techniques, scene
understanding and modelling from video, 3D object recognition,
localization and tracking, medical image analysis and so on.
Computational learning theory involves different kinds of learning
like incremental, online, reinforcement, manifold, multi-task,
semi-supervised, etc. Further, it covers the real-time challenges
involved while processing big data analytics and stream processing
with the integration of smart data computing services and
interconnectivity. Additionally, it covers the recent developments
to network intelligence for analyzing the network information and
thereby adapting the algorithms dynamically to improve the
efficiency. In the last, it includes the progress in signal
processing to process the normal and abnormal categories of
real-world signals, for instance signals generated from IoT
devices, smart systems, speech, videos, etc., and involves
biomedical signal processing: electrocardiogram (ECG),
electroencephalogram (EEG), magnetoencephalography (MEG) and
electromyogram (EMG).
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