Academic Journal of Computing & Information Science, 2022, 5(12); doi: 10.25236/AJCIS.2022.051202.
Jin Lu1, Xiaoting Wan2
1Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic, Shenzhen, 518055, Guangdong, China
2Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic, Shenzhen, 518055, Guangdong, China
With the development of artificial intelligence technology, the basic judgment of students learning state can be realized through the comprehensive analysis of students face, expression, behavior posture and other multi-modal data.In this paper, we present a new image recognition algorithm based on improved AlexNet and shared parameter transfer learning. The main idea of the proposed method is to apply the technique of shared parameter transfer learning (SPTL) to improve the performance of deep neural network architectures such as AlexNet. Compared with conventional methods, SPTL has several advantages: 1) it can be applied for non-convex optimization problems; 2) it can provide better training speed and robustness; 3) it can achieve high accuracy in both training and testing stages. In addition, our method is easy to implement which it does not require any special prepossessing. After the completely associated layer comes to 10, the acknowledgment rate can be near to 98%.
Affective Computing; Deep Reinforcement Learning; Expression data; Learning Status
Jin Lu, Xiaoting Wan. Image Recognition Algorithm Based on Improved AlexNet and Shared Parameter Transfer Learning. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 12: 6-14. https://doi.org/10.25236/AJCIS.2022.051202.
 Cong Bai; Ling Huang; Xiang Pan; Jianwei Zheng; Shengyong Chen; "Optimization of Deep Convolutional Neural Network for Large Scale Image Retrieval", NEUROCOMPUTING, 2018.
 Hyun K. Suh; Joris IJsselmuiden; Jan Willem Hofstee; Eldert J. van Henten; "Transfer Learning for The Classification of Sugar Beet and Volunteer Potato Under Field Conditions", BIOSYSTEMS ENGINEERING, 2018.
 Matthew Adams; Weijia Chen; David Holcdorf; Mark W McCusker; Piers Dl Howe; Frank Gaillard; "Computer Vs Human: Deep Learning Versus Perceptual Training For The Detection Of Neck Of Femur Fractures", JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2018.
 Yang Yang; Lin-Feng Yan; Xin Zhang; Yu Han; Hai-Yan Nan; Yu-Chuan Hu; Bo Hu; Song-Lin Yan; Jin Zhang; Dong-Liang Cheng; Xiang-Wei Ge; Guang-Bin Cui; Di Zhao; Wen Wang; "Glioma Grading On Conventional MR Images: A Deep Learning Study With Transfer Learning", FRONTIERS IN NEUROSCIENCE, 2018.
 Siyuan Lu; Zhihai Lu; Yu-Dong Zhang; "Pathological Brain Detection Based on AlexNet and Transfer Learning", J. COMPUT. SCI., 2019.
 Yudong Zhang; Vishnu Varthanan Govindaraj; Chaosheng Tang; Weiguo Zhu; Junding Sun; "High Performance Multiple Sclerosis Classification By Data Augmentation and AlexNet Transfer Learning Model", J. MEDICAL IMAGING HEALTH INFORMATICS, 2019.
 Shan-Wen Zhang; Subing Zhang; Chuanlei Zhang; Xianfeng Wang; Yun Shi; "Cucumber Leaf Disease Identification with Global Pooling Dilated Convolutional Neural Network", COMPUT. ELECTRON. AGRIC., 2019.
 Shui-Hua Wang; Shipeng Xie; Xianqing Chen; David S Guttery; Chaosheng Tang; Junding Sun; Yu-Dong Zhang; "Alcoholism Identification Based On An AlexNet Transfer Learning Model", FRONTIERS IN PSYCHIATRY, 2019.
 Ming-Der Yang; Hsin-Hung Tseng; Yu-Chun Hsu; Hui Ping Tsai; "Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images", REMOTE. SENS., 2020.
 Nitin Rahuja; Sudarshan K. Valluru; "A Deep Neural Network Approach to Automatic Multi-Class Classification of Electrocardiogram Signals", 2021 International Conference On Intelligent Technologies (CONIT), 2021.
 Sunil Kumar Gupta; Dinh Phung; Brett Adams; Truyen Tran; Svetha Venkatesh; "Nonnegative Shared Subspace Learning And Its Application To Social Media Retrieval", KDD, 2010.
 Junsuk Choe; Song Park; Kyungmin Kim; Joo-Hyun Park; Dongseob Kim; Hyunjung Shim; "Face Generation for Low-Shot Learning Using Generative Adversarial Networks", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2017.
 Guojing Cong; Giacomo Domeniconi; Joshua Shapiro; Fan Zhou; Barry Chen; "Accelerating Deep Neural Network Training for Action Recognition on A Cluster of GPUs", 2018 30th International Symposium On Computer Architecture And High Performance Computing (Sbac-Pad), 2018.
 Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller; "Transfer Learning For Time Series Classification", ARXIV, 2018.
 Lei Meng; Long Chen; Xun Yang; Dacheng Tao; Hanwang Zhang; Chunyan Miao; Tat-Seng Chua; "Learning Using Privileged Information for Food Recognition", Proceedings of the 27th Acm International Conference On Multimedia, 2019.
 Amey Bhole; Owen Falzon; Michael Biehl; George Azzopardi; "A Computer Vision Pipeline That Uses Thermal and RGB Images for The Recognition of Holstein Cattle", 2019.
 Hongwei Fan; Shuoqi Gao; Xuhui Zhang; Xiangang Cao; Hongwei Ma; Qi Liu; "Intelligent Recognition of Ferrographic Images Combining Optimal CNN With Transfer Learning Introducing Virtual Images", IEEE ACCESS, 2020.
 M. Ramesh; K. Mahesh; "A Performance Analysis of Pre-trained Neural Network and Design of CNN for Sports Video Classification", 2020 International Conference On Communication And Signal Processing (Iccsp), 2020.
 Shubhra Aich; Ian Stavness; Yasuhiro Taniguchi; Masaki Yamazaki; "Multi-Scale Weight Sharing Network For Image Recognition", ARXIV, 2020.
 Hongli Chen; Lingfeng Liu; Xiaojing Xia; "Experimental Research on Knuckle Pattern Recognition Algorithm Based on Transfer Learning", 2021 40th Chinese Control Conference (Ccc), 2021.
 Gabriela Oliveira Biondi; Ronaldo C. Prati; "Setting Parameters for Support Vector Machines Using Transfer Learning", Journal of Intelligent & Robotic Systems, 2015.
 Song Liu; Kenji Fukumizu; "Estimating Posterior Ratio For Classification: Transfer Learning From Probabilistic Perspective", ARXIV, 2015.
 Haeju Park; Jinyoung Yeo; Gengyu Wang; Seung-won Hwang,; "Soft Representation Learning For Sparse Transfer", ACL, 2019.
 Fan Yang; Hongyang R. Zhang; Sen Wu; Weijie J. Su; Christopher Ré; "Analysis of Information Transfer from Heterogeneous Sources Via Precise High-dimensional Asymptotics", ARXIV, 2020.
 Demi Guo; Alexander M. Rush; Yoon Kim; "Parameter-Efficient Transfer Learning with Diff Pruning", ARXIV, 2020.
 Domenick D. Poster; Shuowen Hu; Nathan J. Short; Benjamin S. Riggan; Nasser M. Nasrabadi; "Visible-to-Thermal Transfer Learning for Facial Landmark Detection", IEEE ACCESS, 2021.
 Xin Wang; Zhipeng Mao; Mingjun Xu; Lin Duan; "Isometric Mapping Transfer Learning Based on Multi-parameter Optimization for Infrared Water Target Extraction", 2021.
 Muhammad Shah Jahan; Habib Ullah Khan; Shahzad Akbar; Muhammad Umar Farooq; Sarah Gul; Anam Amjad; "Bidirectional Language Modeling: A Systematic Literature Review", Sci. Program., 2021.
 Zhengkun Zhang; Wenya Guo; Xiaojun Meng; Yasheng Wang; Yadao Wang; Xin Jiang; Qun Liu; Zhenglu Yang; "HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks", ARXIV, 2022.
 L. A. Bull; D. Di Francesco; M. Dhada; O. Steinert; T. Lindgren; A. K. Parlikad; A. B. Duncan; M. Girolami; "Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets Via Multitask Learning", ARXIV, 2022.