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2020 | OriginalPaper | Chapter

7. Dynamic Content Mining

Authors : Akka Zemmari, Jenny Benois-Pineau

Published in: Deep Learning in Mining of Visual Content

Publisher: Springer International Publishing

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Abstract

Neural networks and convolutional neural networks can be considered as functions which take as input a vector and compute a distribution over the set of possible classes. Such networks have no notion of order in time nor in memory. That is they are not suitable for dynamic content mining like speech recognition, video processing, etc. In this chapter we introduce models able to handle temporality of visual content.

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Literature
BPSW70.
Leonard E. Baum, Ted Petrie, George Soules, and Norman Weiss. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Statist., 41(1):164–171, 02 1970.
CVMBB14.
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259, 2014.
DLR77.
A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B, 39(1):1–38, 1977.MathSciNetMATH
HS97.
Sepp Hochreiter and Jürgen Schmidhuber. Long short-term memory. Neural Computation, 9(8):1735–1780, 1997.CrossRef
JH08.
Orlando De Jesus and Martin T. Hagan. Backpropagation through time for general dynamic networks. In Hamid R. Arabnia and Youngsong Mun, editors, Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008, July 14–17, 2008, Las Vegas, Nevada, USA, 2 Volumes (includes the 2008 International Conference on Machine Learning; Models, Technologies and Applications), pages 45–51. CSREA Press, 2008.
KBD+14.
Svebor Karaman, Jenny Benois-Pineau, Vladislavs Dovgalecs, Rémi Mégret, Julien Pinquier, Régine André-Obrecht, Yann Gaëstel, and Jean-François Dartigues. Hierarchical hidden Markov model in detecting activities of daily living in wearable videos for studies of dementia. Multimedia Tools Appl., 69(3):743–771, 2014.CrossRef
KOG03.
Ewa Kijak, Lionel Oisel, and Patrick Gros. Temporal structure analysis of broadcast tennis video using hidden Markov models. In Minerva M. Yeung, Rainer Lienhart, and Chung-Sheng Li, editors, Storage and Retrieval for Media Databases 2003, Santa Clara, CA, USA, January 22, 2003, volume 5021 of SPIE Proceedings, pages 289–299. SPIE, 2003.
MJ98.
Sheng Ma and Chuanyi Ji. A unified approach on fast training of feedforward and recurrent networks using EM algorithm. IEEE Trans. Signal Processing, 46(8):2270–2274, 1998.CrossRef
Neu75.
David L. Neuhoff. The Viterbi algorithm as an aid in text recognition (corresp.). IEEE Trans. Information Theory, 21(2):222–226, 1975.MathSciNetCrossRef
PMB13.
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. On the difficulty of training recurrent neural networks. In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16–21 June 2013 [DBL13], pages 1310–1318.
Rab89.
L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. In Proceedings of the IEEE, volume 77, pages 257–286, 1989.CrossRef
SMDH13b.
Ilya Sutskever, James Martens, George E. Dahl, and Geoffrey E. Hinton. On the importance of initialization and momentum in deep learning. In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16–21 June 2013 [DBL13], pages 1139–1147.
Vit67.
Andrew J. Viterbi. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans. Information Theory, 13(2):260–269, 1967.CrossRef
Metadata
Title
Dynamic Content Mining
Authors
Akka Zemmari
Jenny Benois-Pineau
Copyright Year
2020
Book
Deep Learning in Mining of Visual Content

Print ISBN: 978-3-030-34375-0

Electronic ISBN: 978-3-030-34376-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-34376-7_7

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