Author:
Hussain Nazar,Khan Muhammad Attique,Sharif Muhammad,Khan Sajid Ali,Albesher Abdulaziz A.,Saba Tanzila,Armaghan Ammar
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference58 articles.
1. Adeel A, Khan MA, Sharif M, Azam F, Umer T, and Wan S (2019) Diagnosis and recognition of grape leaf diseases: an automated system based on a novel saliency approach and canonical correlation analysis based multiple features fusion, Sustainable Computing: Informatics and Systems
2. Arshad H, Khan MA, Sharif M, Yasmin M, Javed MYJIJOML, and Cybernetics (2019) Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution," pp. 1–18
3. Arshad H, Khan MA, Sharif MI, Yasmin M, Tavares JMRS, Zhang Y-D and Satapathy SC (2020) "A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition." Expert Systems: e12541
4. Bilal M and Hanif MSJJoSPS (2019) High performance real-time pedestrian detection using light weight features and fast cascaded kernel SVM classification, vol. 91, pp. 117–129
5. Cao X, Wu C, Yan P, and Li X (2011) Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos, in 2011 18th IEEE International Conference on Image Processing, pp. 2421–2424.
Cited by
57 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献