Deep neural networks for mobile person recognition with audio-visual signals

2017 ◽  
pp. 97-129
Author(s):  
M. R. Alam ◽  
M. Bennamoun ◽  
R. Togneri ◽  
F. Sohel
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Visual Signals ◽  
Person Recognition

scholarly journals Brain-inspired Multimodal Learning Based on Neural Networks

2018 ◽  
Vol 4 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Chang Liu ◽  
Fuchun Sun ◽  
Bo Zhang
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Computational Models ◽  
Deep Neural Networks ◽  
Brain Research ◽  
Visual Signals ◽  
Multimodal Learning ◽  
Image Captioning ◽  
Unified Framework ◽  
Learning Tasks

Modern computational models have leveraged biological advances in human brain research. This study addresses the problem of multimodal learning with the help of brain-inspired models. Specifically, a unified multimodal learning architecture is proposed based on deep neural networks, which are inspired by the biology of the visual cortex of the human brain. This unified framework is validated by two practical multimodal learning tasks: image captioning, involving visual and natural language signals, and visual-haptic fusion, involving haptic and visual signals. Extensive experiments are conducted under the framework, and competitive results are achieved.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

2018 ◽  
Author(s):  
Daniel Povey ◽  
Gaofeng Cheng ◽  
Yiming Wang ◽  
Ke Li ◽  
Hainan Xu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Matrix Factorization ◽  
Deep Neural Networks ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix
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