Parametric Learning of Texture Filters by Stacked Fisher Autoencoders

Deep learning has recently contributed significantly to large-scale recognition of several modalities like image, video and speech. Stacked autoencoders are a family of powerful convolutional neural nets to build scalable generative models for automatic feature learning. In this paper, we propose a...

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Veröffentlicht in:	2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) S. 1 - 8
1. Verfasser:	Shahriari, Arash
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2016
Schlagworte:	Convolutional codes Dictionaries Eigenvalues and eigenfunctions Mathematical model Matrix decomposition Neural networks Scattering
Online-Zugang:	Volltext
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