Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features-Reference-Cited by-同舟云学术

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Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features

Published:2018-01-01 Issue:3 Volume:10 Page:437-453
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Zrira Nabila,Khan Haris Ahmad,Bouyakhf El Houssine

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/article/10.1007/s12559-017-9534-9/fulltext.html

Reference54 articles.

1. Aboudib A, Gripon V, Coppin G. A biologically inspired framework for visual information processing and an application on modeling bottom-up visual attention. Cogn Comput. 2016;8:1–20.

2. Ackley DH, Hinton GE, Sejnowski TJ. A learning algorithm for boltzmann machines*. Cogn Sci. 1985; 9(1):147–169.

3. Alexandre LA. 3d object recognition using convolutional neural networks with transfer learning between input channels. Intelligent Autonomous Systems 13. Springer; 2016. p. 889–898.

4. Bengio Y. Learning deep architectures for ai. Found TrendsⓇ Mach Learn. 2009;2(1):1–127.

5. Biederman I. 1981. On the semantics of a glance at a scene.

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