[HTML][HTML] A Comprehensive Review on Discriminant Analysis for Addressing Challenges of Class-Level Limitations, Small Sample Size, and Robustness
The classical linear discriminant analysis (LDA) algorithm has three primary drawbacks, ie,
small sample size problem, sensitivity to noise and outliers, and inability to deal with multi …
small sample size problem, sensitivity to noise and outliers, and inability to deal with multi …
Cross-project software defect prediction based on domain adaptation learning and optimization
C Jin - Expert Systems with Applications, 2021 - Elsevier
Software defect prediction (SDP) is very helpful for optimizing the resource allocation of
software testing and improving the quality of software products. The cross-project defect …
software testing and improving the quality of software products. The cross-project defect …
MOOC student dropout prediction model based on learning behavior features and parameter optimization
C Jin - Interactive Learning Environments, 2023 - Taylor & Francis
Since the advent of massive open online courses (MOOC), it has been the focus of
educators and learners around the world, however the high dropout rate of MOOC has had a …
educators and learners around the world, however the high dropout rate of MOOC has had a …
Software defect prediction model based on distance metric learning
C Jin - Soft Computing, 2021 - Springer
Software defect prediction (SDP) is a very important way for analyzing software quality and
reducing development costs. The data during software lifecycle can be used to predict …
reducing development costs. The data during software lifecycle can be used to predict …
TNNL: a novel image dimensionality reduction method for face image recognition
W Wang, J Qin, Y Zhang, D Deng, S Yu, Y Zhang… - Digital Signal …, 2021 - Elsevier
Face image recognition technology plays an important role in biometric recognition field.
Among the present face recognition methods, the method based on subspace learning have …
Among the present face recognition methods, the method based on subspace learning have …
Research on Real‐Time Face Key Point Detection Algorithm Based on Attention Mechanism
J Gao, T Yang - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
The existing face detection methods were affected by the network model structure used.
Most of the face recognition methods had low recognition rate of face key point features due …
Most of the face recognition methods had low recognition rate of face key point features due …
A Copyright-Preserving and Fair Image Trading Scheme Based on Blockchain
F Yu, J Peng, X Li, C Li, B Qu - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
With the proliferation of the Internet, particularly the rise of social media, digital images have
gradually become an important part of life, and trading platforms have emerged for buying …
gradually become an important part of life, and trading platforms have emerged for buying …
Cascaded maximum median-margin discriminant projection with its application to face recognition
P Huang, C Tong, X Du, Z Yang - Information Sciences, 2024 - Elsevier
This paper introduces a novel method called cascaded maximum median-margin
discriminant projection (CMMDP) for robust face recognition. Initially, we introduce the …
discriminant projection (CMMDP) for robust face recognition. Initially, we introduce the …
Research on face image digital processing and recognition based on data dimensionality reduction algorithm
M He - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Because face recognition is greatly affected by external environmental factors and the partial
lack of face information challenges the robustness of face recognition algorithm, while the …
lack of face information challenges the robustness of face recognition algorithm, while the …
Research on image recognition technology based on artificial intelligence
L Kai, W Tianjun, X Jingfeng - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Image recognition technology is an important field in artificial intelligence. With the
development of society and the progress of technology, image recognition technology has …
development of society and the progress of technology, image recognition technology has …