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Granular Video Computing: With Rough Sets, Deep Learning And In Iot

2021-02-04 Computers
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Release : 2021-02-04
Genre : Computers
Kind : eBook
Book Rating : 136/5 ( reviews)

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Book Synopsis Granular Video Computing: With Rough Sets, Deep Learning And In Iot by : Debarati Bhunia Chakraborty

Download or read book Granular Video Computing: With Rough Sets, Deep Learning And In Iot written by Debarati Bhunia Chakraborty. This book was released on 2021-02-04. Available in PDF, EPUB and Kindle. Book excerpt: This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training.This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.

Granular Video Computing

2021 Automatic tracking
Download Granular Video Computing PDF Online Free

Author :
Release : 2021
Genre : Automatic tracking
Kind : eBook
Book Rating : 127/5 ( reviews)

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Book Synopsis Granular Video Computing by : Debarati Bhunia Chakraborty

Download or read book Granular Video Computing written by Debarati Bhunia Chakraborty. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: "This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training. This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing"--

Granular Computing

2013-06-05 Computers
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Release : 2013-06-05
Genre : Computers
Kind : eBook
Book Rating : 232/5 ( reviews)

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Book Synopsis Granular Computing by : Witold Pedrycz

Download or read book Granular Computing written by Witold Pedrycz. This book was released on 2013-06-05. Available in PDF, EPUB and Kindle. Book excerpt: Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.

Pattern Recognition and Machine Intelligence

2011-06-14 Computers
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Release : 2011-06-14
Genre : Computers
Kind : eBook
Book Rating : 850/5 ( reviews)

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Book Synopsis Pattern Recognition and Machine Intelligence by : Sergei O. Kuznetsov

Download or read book Pattern Recognition and Machine Intelligence written by Sergei O. Kuznetsov. This book was released on 2011-06-14. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2011, held in Moscow, Russia in June/July 2011. The 65 revised papers presented together with 5 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on pattern recognition and machine learning; image analysis; image and video information retrieval; natural language processing and text and data mining; watermarking, steganography and biometrics; soft computing and applications; clustering and network analysis; bio and chemo analysis; and document image processing.

Soft Computing Approach to Pattern Recognition and Image Processing

2002 Computers
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Release : 2002
Genre : Computers
Kind : eBook
Book Rating : 235/5 ( reviews)

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Book Synopsis Soft Computing Approach to Pattern Recognition and Image Processing by : Ashish Ghosh

Download or read book Soft Computing Approach to Pattern Recognition and Image Processing written by Ashish Ghosh. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

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