Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2018.00246 ◽

2018 ◽

Author(s):

Yong Zhang ◽

Weiming Dong ◽

Bao-Gang Hu ◽

Qiang Ji

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Deep Convolutional Neural Network ◽

Intensity Estimation ◽

Neural Network Learning ◽

Action Unit ◽

Facial Action ◽

Network Learning ◽

Weakly Supervised

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Improved Object Detection in Video Surveillance Using Deep Convolutional Neural Network Learning

10.1109/i-smac52330.2021.9640894 ◽

2021 ◽

Author(s):

Dhiyanesh B ◽

Rajesh Kanna K ◽

Rajkumar S ◽

Radha R

Keyword(s):

Neural Network ◽

Object Detection ◽

Convolutional Neural Network ◽

Video Surveillance ◽

Deep Convolutional Neural Network ◽

Neural Network Learning ◽

Network Learning

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A NEW DEEP CONVOLUTIONAL NEURAL NETWORK LEARNING MODEL FOR COVID-19 DIAGNOSIS

European Journal of Technical and Natural Sciences ◽

10.29013/ejtns-21-4.5-13-24 ◽

2021 ◽

pp. 13-24

Author(s):

Li Henry ◽

Chen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Learning Model ◽

Deep Convolutional Neural Network ◽

Neural Network Learning ◽

Network Learning

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A Deep Convolutional Neural Network Learning Transfer to SVM-Based Segmentation Method for Brain Tumor

2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT) ◽

10.1109/icait.2019.8935904 ◽

2019 ◽

Author(s):

Bin Cui ◽

Mingchao Xie ◽

Chunxing Wang

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Learning Transfer ◽

Deep Convolutional Neural Network ◽

Segmentation Method ◽

Neural Network Learning ◽

Network Learning

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Deep Convolutional Neural Network Learning for Activity Recognition using real-life sensor’s data in smart devices

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) ◽

10.1109/healthcom.2018.8531150 ◽

2018 ◽

Author(s):

Maryam Fekri ◽

M. Omair Shafiq

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Activity Recognition ◽

Real Life ◽

Deep Convolutional Neural Network ◽

Smart Devices ◽

Neural Network Learning ◽

Network Learning

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Video mining for facial action unit classification using statistical spatial–temporal feature image and LoG deep convolutional neural network

Machine Vision and Applications ◽

10.1007/s00138-018-0967-2 ◽

2018 ◽

Vol 30 (1) ◽

pp. 41-57 ◽

Author(s):

Masoud Z. Lifkooee ◽

Ömer M. Soysal ◽

Kazim Sekeroglu

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Deep Convolutional Neural Network ◽

Action Unit ◽

Facial Action ◽

Video Mining ◽

Temporal Feature

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An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis

Measurement ◽

10.1016/j.measurement.2021.110236 ◽

2021 ◽

Vol 186 ◽

pp. 110236

Author(s):

Fengqian Zou ◽

Haifeng Zhang ◽

Shengtian Sang ◽

Xiaoming Li ◽

Wanying He ◽

...

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Learning Model ◽

One Dimension ◽

Neural Network Learning ◽

Network Learning ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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A 2.6 TOPS/W 16-Bit Fixed-Point Convolutional Neural Network Learning Processor in 65-nm CMOS

IEEE Solid-State Circuits Letters ◽

10.1109/lssc.2019.2954780 ◽

2020 ◽

Vol 3 ◽

pp. 13-16 ◽

Author(s):

Shihui Yin ◽

Jae-Sun Seo

Keyword(s):

Neural Network ◽

Fixed Point ◽

Convolutional Neural Network ◽

Neural Network Learning ◽

Network Learning

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Weakly supervised object localization with deep convolutional neural network based on spatial pyramid saliency map

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8297069 ◽

2017 ◽

Author(s):

Zhiqiang Wan ◽

Haibo He

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Saliency Map ◽

Deep Convolutional Neural Network ◽

Object Localization ◽

Weakly Supervised ◽

Spatial Pyramid

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End‐to‐end global to local convolutional neural network learning for hand pose recovery in depth data

IET Computer Vision ◽

10.1049/cvi2.12064 ◽

2021 ◽

Author(s):

Meysam Madadi ◽

Sergio Escalera ◽

Xavier Baró ◽

Jordi Gonzàlez

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Neural Network Learning ◽

Network Learning ◽

Pose Recovery ◽

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Convolutional Neural Network Learning from Combinations of RT Dose Distribution, CT and PET Improves Predicting Locoregional Recurrence for Head and Neck Cancer

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.07.2128 ◽

2020 ◽

Vol 108 (3) ◽

pp. S31

Author(s):

Y. Li ◽

A. Wu ◽

M. Qi ◽

L. Zhou ◽

T. Song

Keyword(s):

Neural Network ◽

Head And Neck Cancer ◽

Convolutional Neural Network ◽

Head And Neck ◽

Neck Cancer ◽

Dose Distribution ◽

Locoregional Recurrence ◽

Neural Network Learning ◽

Network Learning

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