103 lines
4.1 KiB
BibTeX
103 lines
4.1 KiB
BibTeX
1% Encoding: UTF-8
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@book{NeuralNetworks1994,
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title = {Fundamentals of Neural Networks: Architectures, Algorithms, and Applications},
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author = {Fausett L.},
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isbn = {},
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edition = {},
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volume = {},
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year = {1994},
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}
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@book{NeuralNetworkDesign_2014,
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title={Neural network design},
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author={Hagan, M.T. and Demuth, H.B. and Beale, M.H.},
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isbn={9780971732117},
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url={https://books.google.co.uk/books?id=4EW9oQEACAAJ},
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year={2014},
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publisher={Martin Hagan}
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}
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@book{NeuralNetworks_2016,
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title={Neural networks for applied sciences and engineering: from fundamentals to complex pattern recognition},
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author={Samarasinghe, Sandhya},
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year={2016},
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publisher={Auerbach publications}
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}
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@article{NNScaledConjugateTraining_1993,
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title = "A scaled conjugate gradient algorithm for fast supervised learning",
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journal = "Neural Networks",
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volume = "6",
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number = "4",
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pages = {525-533},
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year = "1993",
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issn = "0893-6080",
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doi = "https://doi.org/10.1016/S0893-6080(05)80056-5",
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url = "http://www.sciencedirect.com/science/article/pii/S0893608005800565",
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author = "Martin Fodslette Møller",
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keywords = "Feedforward neural network, Supervised learning, Optimization, Conjugate gradient algorithms"
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}
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@ARTICLE{HEVCComplexityNN_TIP2018,
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author={M. Xu and T. Li and Z. Wang and X. Deng and R. Yang and Z. Guan},
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journal={IEEE Transactions on Image Processing},
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title={Reducing Complexity of {HEVC}: A Deep Learning Approach},
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year={2018},
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volume={27},
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number={10},
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pages={5044-5059},
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keywords={Complexity theory;Databases;Encoding;Feature extraction;Image coding;Machine learning;Video coding;High efficiency video coding;complexity reduction;convolutional neural network;deep learning;long- and short-term memory network},
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doi={10.1109/TIP.2018.2847035},
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ISSN={1057-7149},
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month=oct,}
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@ARTICLE{VideoQualityNN_TNN2006,
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author={P. Le Callet and C. Viard-Gaudin and D. Barba},
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journal={IEEE Transactions on Neural Networks},
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title={A Convolutional Neural Network Approach for Objective Video Quality Assessment},
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year={2006},
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volume={17},
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number={5},
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pages={1316-1327},
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keywords={convolution;delay systems;neural nets;video signal processing;convolutional neural network;objective video quality assessment;digital videos;reduced reference quality metric;single stimulus continuous quality evaluation method;video quality expert group;time-delay neural network;Neural networks;Quality assessment;Humans;Design methodology;Testing;Cellular neural networks;Feature extraction;Bit rate;Machine vision;TV;Convolutional neural network (CNN);MPEG-2;temporal pooling;video quality assessment;Algorithms;Artificial Intelligence;Image Enhancement;Image Interpretation, Computer-Assisted;Neural Networks (Computer);Pattern Recognition, Automated;Photography;Signal Processing, Computer-Assisted;Video Recording},
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doi={10.1109/TNN.2006.879766},
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ISSN={1045-9227},
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month=sep,}
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@INPROCEEDINGS{VideoAnalysisNN_2018,
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author={I. Aljarrah and D. Mohammad},
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booktitle={9th International Conference on Information and Communication Systems (ICICS)},
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title={Video content analysis using convolutional neural networks},
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year={2018},
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volume={},
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number={},
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pages={122-126},
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keywords={convolution;feedforward neural nets;image classification;object detection;video recording;video signal processing;video surveillance;video surveillance systems;video content analysis;recorded video;automated content analysis system;video surveillance content;reviewing videos;text file;convolutional neural networks;Streaming media;Convolutional neural networks;Task analysis;Feature extraction;Video surveillance;Analytical models;video content analysis;convolutional neural networks;VGGNet;object classification},
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doi={10.1109/IACS.2018.8355453},
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ISSN={2573-3346},
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month=apr,}
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@article{CrossEntropy_2005,
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title={A tutorial on the cross-entropy method},
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author={De Boer, Pieter-Tjerk and Kroese, Dirk P and Mannor, Shie and Rubinstein, Reuven Y},
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journal={Annals of operations research},
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volume={134},
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number={1},
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pages={19--67},
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year={2005},
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publisher={Springer}
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}
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@book{haykin1994neural,
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title={Neural networks: a comprehensive foundation},
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author={Haykin, Simon},
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year={199},
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publisher={Prentice Hall PTR},
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edition = {2},
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}
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