A texture-based method for predicting molecular markers and survival outcome in lower grade glioma
Texture-based convolutional neural networks (CNNs) have shown great promise in
predicting various types of cancer, including lower grade glioma (LGG) through radiomics …
predicting various types of cancer, including lower grade glioma (LGG) through radiomics …
Advanced variations of two-dimensional principal component analysis for face recognition
The two-dimensional principal component analysis (2DPCA) has been one of the basic
methods of developing artificial intelligent algorithms. To increase the feasibility, we propose …
methods of developing artificial intelligent algorithms. To increase the feasibility, we propose …
Linear regression classification in the quaternion and reduced biquaternion domains
MT El-Melegy, AT Kamal - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
Linear regression classification (LRC) has proven to be a successful recognition tool in
recent years. LRC depends on using the least square algorithm to get the solution of the …
recent years. LRC depends on using the least square algorithm to get the solution of the …
F-2D-QPCA: A quaternion principal component analysis method for color face recognition
M Wang, L Song, K Sun, Z Jia - IEEE Access, 2020 - ieeexplore.ieee.org
Two-dimensional quaternion principal component analysis (2D-QPCA) is one of the
successful dimensionality reduction methods for color face recognition. However, 2D-QPCA …
successful dimensionality reduction methods for color face recognition. However, 2D-QPCA …
Face recognition based on local gradient number pattern and fuzzy convex-concave partition
J Sun, Y Lv, C Tang, H Sima, X Wu - IEEE Access, 2020 - ieeexplore.ieee.org
Face recognition has been deeply studied and widely used in recent years. A novel method,
called local gradient number pattern (LGNP), is firstly presented in the paper for face …
called local gradient number pattern (LGNP), is firstly presented in the paper for face …
Data-Driven Bilateral Generalized Two-Dimensional Quaternion Principal Component Analysis with Application to Color Face Recognition
MX Zhao, ZG Jia, DW Gong, Y Zhang - arXiv preprint arXiv:2306.07045, 2023 - arxiv.org
A new data-driven bilateral generalized two-dimensional quaternion principal component
analysis (BiG2DQPCA) is presented to extract the features of matrix samples from both row …
analysis (BiG2DQPCA) is presented to extract the features of matrix samples from both row …
Classification by Principal Component Regression in the Real and Hypercomplex Domains
MT El-Melegy, AT Kamal, KF Hussain… - Arabian Journal for …, 2023 - Springer
Linear regression is a simple and widely used machine learning algorithm. It is a statistical
approach for modeling the relationship between a scalar variable and one or more …
approach for modeling the relationship between a scalar variable and one or more …
Novel Quaternion Orthogonal Fourier-Mellin Moments Using Optimized Factorial Calculation
C Wang, L Chen, Z Xia, J Li, Q Li, Z Wei… - … Workshop on Digital …, 2023 - Springer
This paper provides an in-depth discussion on the application of quaternion orthogonal
Fourier-Mellin Moments (QOFMM) in the field of digital image processing, and proposes a …
Fourier-Mellin Moments (QOFMM) in the field of digital image processing, and proposes a …
Face recognition by principal component regression using hypercomplex numbers
AT Kamal, MT El-Melegy… - … University Journal of …, 2022 - aunj.journals.ekb.eg
Linear regression is one of the simplest and widely used machine learning algorithms that
has received a lot of attention in many fields. Linear Regression Classification (LRC) …
has received a lot of attention in many fields. Linear Regression Classification (LRC) …
Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition
ZG Jia, ZJ Qiu, QY Wang, MX Zhao, DD Zhu - arXiv preprint arXiv …, 2020 - arxiv.org
One of the most powerful methods of color image recognition is the two-dimensional
principle component analysis (2DQPCA) approach, which is based on quaternion …
principle component analysis (2DQPCA) approach, which is based on quaternion …