9789811915192 - pattern recognition and data analysis with applications: 888 (lecture notes in electrical engineering, 888) (13 resultados)

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Pattern Recognition and Data Analysis With Applications
Gupta, Deepak (EDT); Goswami, Rajat Subhra (EDT); Banerjee, Subhasish (EDT); Tanveer, M. (EDT); Pachori, Ram Bilas (EDT)
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Idioma: Inglés
Editorial: Springer, Berlin|Springer Nature Singapore|Springer 2022
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Pattern Recognition and Data Analysis With Applications
Gupta, Deepak (EDT); Goswami, Rajat Subhra (EDT); Banerjee, Subhasish (EDT); Tanveer, M. (EDT); Pachori, Ram Bilas (EDT)
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processingand their applications in real world. The topics covered… in machine learning involves feature extraction, variants ofsupport vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and otherareas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use ofgeometric techniques, scene understanding and modelling from video, 3D object recognition, localization andtracking, medical image analysis and so on. Computational learning theory involves different kinds of learning likeincremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-timechallenges involved while processing big data analytics and stream processing with theintegration of smart datacomputing services and interconnectivity. Additionally, it covers the recent developments to network intelligence foranalyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In thelast, 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 signalprocessing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG)and electromyogram (EMG).

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Idioma: Inglés
Editorial: Springer Nature Singapore, Springer Nature Singapore Sep 2022 2022
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processingand their applications in real world. Th…e topics covered in machine learning involves feature extraction, variants ofsupport vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and otherareas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use ofgeometric techniques, scene understanding and modelling from video, 3D object recognition, localization andtracking, medical image analysis and so on. Computational learning theory involves different kinds of learning likeincremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-timechallenges involved while processing big data analytics and stream processing with theintegration of smart datacomputing services and interconnectivity. Additionally, it covers the recent developments to network intelligence foranalyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In thelast, 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 signalprocessing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG)and electromyogram (EMG). 856 pp. Englisch.

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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 t…opics 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 theintegration 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).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 856 pp. Englisch.

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