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Pattern Recognition and Data Analysis with Applications (Hardcover, 1st ed. 2022) Loot Price: R5,621
Discovery Miles 56 210
Pattern Recognition and Data Analysis with Applications (Hardcover, 1st ed. 2022): Deepak Gupta, Rajat Subhra Goswami,...

Pattern Recognition and Data Analysis with Applications (Hardcover, 1st ed. 2022)

Deepak Gupta, Rajat Subhra Goswami, Subhasish Banerjee, M. Tanveer, Ram Bilas Pachori

Series: Lecture Notes in Electrical Engineering, 888

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Loot Price R5,621 Discovery Miles 56 210 | Repayment Terms: R527 pm x 12*

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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).

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes in Electrical Engineering, 888
Release date: September 2022
First published: 2022
Editors: Deepak Gupta • Rajat Subhra Goswami • Subhasish Banerjee • M. Tanveer • Ram Bilas Pachori
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 835
Edition: 1st ed. 2022
ISBN-13: 978-981-19-1519-2
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 981-19-1519-9
Barcode: 9789811915192

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