DLIPA 2017 - Call for Book Chapters: DEEP LEARNING FOR IMAGE PROCESSING APPLICATIONS
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Website https://www.academia.edu/31492854/Call_for_Book_Chapters_DEEP_LEARNING_FOR_IMAGE_PROCESSING_APPLICAT |
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Category Articificial Neural Networks; Machine Learning; Computer Vision; Compressed Sensing; Fuzzy Logic and Neural Networks; Feature Learning; Bayesian Belief Networks; Compressed Sensing; Low-Rank Matrix Recovery; Image Inpainting; Aprendizado de máquina; Visual and graphical representations of signed language; Redes Neuronales Artificiales; Multiple Dimentions Visualisation; Cinema 4D; Neuronal Networks; Image Processing and Neural Networks; Redes Bayesianas; Redes Neurais Artificiais; Tensor Network Theory; Video Understading; Deep Neural Networks; Content based Retrieval; Ubiquitous Virtual Reality; Multimedia HCI Design; Neural Fuzzy Networks; Geographic Information Systems (GIS); Virtual Reality Technology; Range Imaging; Super Resolution Imaging; Deep Belief Networks; RBF Neural Networks; Restricted Boltzmann Machine; Artificial Neural Network; Autoencoder; Artificial Neural Networks (ANNs); Convolutional Neural Networks; Autoencoders; Convolutional Neural Network [CNN]; Convolutional Deep Belief Network [CDBN]; Fused Convolutional and Subsampling Layers; RNN; Deep Neural Networks (DNN); Long Short-Term Memory Networks; Self Belief Neural Networks ; Deep Stacking Networks ; Deep Coding networks; Deep Q-Networks ; Large Memory Storage and Retrieval Neural Networks ; Complex Valued Neural Systems ; Modified Artificial Neural Networks; 4D Image Processing ; Auto-Encoder; Deep stacking network; Tensor deep stacking network; Spike-and-slab rbm; Compound hierarchical-deep model; Deep coding network; Deep Q-network; Neural Turing machines; Encoder–decoder network; Multilayer kernel machine
Deadline: March 15, 2017 | Date: March 15, 2017-March 24, 2017
Venue/Country: Brazil
Updated: 2017-02-19 04:40:43 (GMT+9)
Call For Papers - CFP
CALL FOR BOOK CHAPTERS Book series Title: Advances in Parallel Computing (SCOPUS INDEXED) Book Title : Deep Learning for Image Processing Applications Editors : (1) Dr. D. Jude Hemanth, Associate Professor, ECE Department, Karunya University, India (2) Dr. Vania V. Estrela, Universidade Federal Fluminense, Brazil Scope of the book: This book focusses on the technical concepts of deep learning and its associated branch Neural Networks for the various dimensions of image processing applications. The proposed volume intends to bring together researchers to report the latest results or progress in the development of the above-mentioned areas. Since there is a deficit of books on this specific subject matter, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. Topics of Interest: This book solicits contributions, which include the fundamentals in the field of Deep Artificial Neural Networks and Image Processing supported by case studies and practical examples. Each chapter is expected to be self-contained and to cover an in-depth analysis of real life applications of neural networks to image analysis. (A) Deep Neural Networks: • Deep Learning Techniques • Convolutional Neural Networks • Self Belief Neural Networks • Spiking Neural Networks • Deep Stacking Networks • Deep Coding networks • Deep Q-Networks • Large Memory Storage and Retrieval Neural Networks • Complex Valued Neural Systems • Modified Artificial Neural Networks • Any other allied neural networks (B) Image Processing: • Medical Image Processing • Remote Sensing • Biometrics • Virtual Reality and Gaming • Image Enhancement/Segmentation/Compression • Image Analysis • Scene Understanding • 3-D/4-D Image Processing • Graphics and Animation • Any other allied areas Submissions are expected to cover at least 1 topic from (A) and (B) IMPORTANT DATES: 1-Page write-up (abstract only with title) : March 15th, 2017 Preliminary acceptance/rejection notification : March 31st, 2017 Full chapter submission : May 31st, 2017 First review notification : June 30th, 2017 Revised paper submission : July 30th, 2017 Acceptance/Rejection notification : August 15th, 2017 Camera ready submission : September 1st, 2017 For further details, contact: Dr. D. Jude Hemanth, Associate Professor, ECE Dept., Karunya University.E-mail: judespecialissuegmail.com Phone: +91-9443001874 Send your 1-page write-up using the e-mail given above with the subject column “IOS Press book chapter.” Upon acceptance, further instructions about the IOS Press format for submission will be sent to your e-mail. “There are NO processing/publication charges for this SCOPUS indexed book series.”
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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