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Hierarchical Neural Networks for Image Interpretation

2003-08-21 Computers
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Release : 2003-08-21
Genre : Computers
Kind : eBook
Book Rating : 227/5 ( reviews)

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Book Synopsis Hierarchical Neural Networks for Image Interpretation by : Sven Behnke

Download or read book Hierarchical Neural Networks for Image Interpretation written by Sven Behnke. This book was released on 2003-08-21. Available in PDF, EPUB and Kindle. Book excerpt: Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

2019-04-06 Computers
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Release : 2019-04-06
Genre : Computers
Kind : eBook
Book Rating : 740/5 ( reviews)

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Book Synopsis Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by : Arindam Chaudhuri

Download or read book Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks written by Arindam Chaudhuri. This book was released on 2019-04-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.

RGB-D Image Analysis and Processing

2019-10-26 Computers
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Release : 2019-10-26
Genre : Computers
Kind : eBook
Book Rating : 037/5 ( reviews)

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Book Synopsis RGB-D Image Analysis and Processing by : Paul L. Rosin

Download or read book RGB-D Image Analysis and Processing written by Paul L. Rosin. This book was released on 2019-10-26. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.

Artificial Neural Networks and Machine Learning - ICANN 2011

2011-06-13 Computers
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Release : 2011-06-13
Genre : Computers
Kind : eBook
Book Rating : 354/5 ( reviews)

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Book Synopsis Artificial Neural Networks and Machine Learning - ICANN 2011 by : Timo Honkela

Download or read book Artificial Neural Networks and Machine Learning - ICANN 2011 written by Timo Honkela. This book was released on 2011-06-13. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 6791 and LNCS 6792 constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Artificial Neural Networks - ICANN 2010

2010-09-03 Computers
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Release : 2010-09-03
Genre : Computers
Kind : eBook
Book Rating : 242/5 ( reviews)

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Book Synopsis Artificial Neural Networks - ICANN 2010 by : Konstantinos Diamantaras

Download or read book Artificial Neural Networks - ICANN 2010 written by Konstantinos Diamantaras. This book was released on 2010-09-03. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 20010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The third volume is divided in topical sections on classification – pattern recognition, learning algorithms and systems, computational intelligence, IEM3 workshop, CVA workshop, and SOINN workshop.

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