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[HTML][HTML] An efficient AdaBoost algorithm with the multiple thresholds classification
Y Ding, H Zhu, R Chen, R Li - Applied sciences, 2022 - mdpi.com
Featured Application A new Weak Learn algorithm which classifies examples is proposed
based on multiple thresholds. The weight assigning scheme of the Weak Learn algorithm is …
based on multiple thresholds. The weight assigning scheme of the Weak Learn algorithm is …
Effective passenger flow forecasting using STL and ESN based on two improvement strategies
L Qin, W Li, S Li - Neurocomputing, 2019 - Elsevier
Accurate passenger flow prediction is fairly challenging because of chaotic nature of
transportation system and influence mechanism originated from multiple factors. It has been …
transportation system and influence mechanism originated from multiple factors. It has been …
Lightweight privacy-preserving ensemble classification for face recognition
The development of machine learning technology and visual sensors is promoting the wider
applications of face recognition into our daily life. However, if the face features in the servers …
applications of face recognition into our daily life. However, if the face features in the servers …
SMD-YOLO: An efficient and lightweight detection method for mask wearing status during the COVID-19 pandemic
Z Han, H Huang, Q Fan, Y Li, Y Li, X Chen - Computer methods and …, 2022 - Elsevier
Abstract Background and Objective At present, the COVID-19 epidemic is still spreading
worldwide and wearing a mask in public areas is an effective way to prevent the spread of …
worldwide and wearing a mask in public areas is an effective way to prevent the spread of …
Efficient face detection and tracking in video sequences based on deep learning
G Zheng, Y Xu - Information Sciences, 2021 - Elsevier
Video-based face detection and tracking technology has been widely used in video
surveillance, safe driving, and medical diagnosis. In video sequences, most existing face …
surveillance, safe driving, and medical diagnosis. In video sequences, most existing face …
Zero-sum game theory model for segmenting skin regions
This paper presents a new method for skin region segmentation based on a zero-sum game
theory model which exploits the opposite classifications of an image region by different skin …
theory model which exploits the opposite classifications of an image region by different skin …
A configurable deep learning framework for medical image analysis
Abstract Artificial intelligence-based Medical Image Analysis (AI-MIA) has achieved
significant advantages in accuracy and efficiency in various biomedical applications …
significant advantages in accuracy and efficiency in various biomedical applications …
Improved neural network using integral-RELU based prevention activation for face detection
Numerous variation of neural networks improved the face detection performance
significantly. However, extravagant computation becomes a major problem found when the …
significantly. However, extravagant computation becomes a major problem found when the …
RETRACTED: video associated cross-modal recommendation algorithm based on deep learning
F Yang, H **e, H Li - 2019 - Elsevier
Applied Soft Computing Journal 82 (2019) 105597 Contents lists available at ScienceDirect
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Multi-view faces detection using Viola-Jones method
Face detection has arrested attention because it has many applications in computer vision.
Face detection is widely used in many digital image processing as a basis for recognizing …
Face detection is widely used in many digital image processing as a basis for recognizing …