Deep Learning as Applied in SAR Target Recognition and Terrain Classification
Leida xuebao, 2017 Deep learning such as deep neural networks has revolutionized the computer vision area. Deep learning-based algorithms have surpassed conventional algorithms in terms of performance by a significant margin. This paper reviews our works in the application
Xu Feng, Wang Haipeng, Jin Yaqiu
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A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks [PDF]
, 2019 Long Zhang +3 more
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Spatial deep convolutional neural networks
Spatial StatisticsSpatial prediction problems often use Gaussian process models, which can be computationally burdensome in high dimensions. Specification of an appropriate covariance function for the model can be challenging when complex non-stationarities exist. Recent work has shown that pre-computed spatial basis functions and a feed-forward neural network can ...
Qi Wang, Paul A. Parker, Robert Lund
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Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks [PDF]
, 2017 Jen-Cheng Hou +5 more
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A survey of efficient deep neural network
Dianxin kexue, 2020 Recently,deep neural network (DNN) has achieved great success in the field of AI such as computer vision and natural language processing.Thanks to a deeper and larger network structure,DNN’s performance is rapidly increasing.However,deeper and lager deep
Rui MIN
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EEG Signal in Emotion Detection Feature Extraction and Classification using Fuzzy Based Feature Search Algorithm and Deep Q Neural Network in Deep Learning Architectures [PDF]
, 2023 Shailaja Kotte, J. R. K. Kumar Dabbakuti
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A Posit Based Multiply-accumulate Unit with Small Quire Size for Deep Neural Networks
, 2022 Yasuhiro Nakahara +4 more
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Deep neural networks and emergence of planar BTZ black holes [PDF]
, 2021 Emad Yaraie +2 more
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Brain Imaging Studies Using Deep Neural Networks in the Detection of Alzheimer's Disease [PDF]
, 2023 Gopi Battineni +6 more
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Artificial neural network and the prospect of AGI: an argument from architecture
Discover Artificial IntelligenceIntelligent systems realized by artificial deep neural networks are entirely composed of Fodorian modules. Human mind exemplifies either the massive modularity or does not exhibit modular structures. In either case, human mind is not entirely composed of
Chang Liu, Bin Ye
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