Results 141 to 150 of about 576,910 (192)

Metabolites from blood and formalin-fixed, paraffin-embedded tissue from participants with low- and high-grade prostate cancer: a pilot study. [PDF]

Front Oncol
Graff RE, Bengtsson HL, Suh JH, Olshen AB, Wang EY, Allen RM, Van Blarigan EL, Kenfield SA, Cowan JE, Carroll PR, Simko J, Chan JM.   +11 more
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Protocatechualdehyde ameliorates OGD/R-induced endothelial injury via the ROS/miR-29b-3p/SIRT1 regulatory axis. [PDF]

Front Pharmacol
Wu Y, Qiao X, Chen S, Lu Y, Mao B, Zhu M, Chen X, Chen N, Ding Z, Jin B.   +9 more
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PCa

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The equivalence of two-dimensional PCA to line-based PCA

Pattern Recognition Letters, 2005
The state-of-the-art in human face recognition is the subspace methods originated by the Principal Component Analysis (PCA), the Eigenfaces of the facial images. Recently, a technique called Two-dimensional PCA (2DPCA) was proposed for human face representation and recognition.
Jufu Feng, Liwei Wang
exaly   +2 more sources

PCA Sparsified

SIAM Journal on Optimization, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fatih S. Aktas, Mustafa Ç. Pinar
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1D-PCA, 2D-PCA to nD-PCA

18th International Conference on Pattern Recognition (ICPR'06), 2006
In this paper, we first briefly reintroduce the 1D and 2D forms of the classical principal component analysis (PCA). Then, the PCA technique is further developed and extended to an arbitrary n-dimensional space. Analogous to 1D- and 2D-PCA, the new nD-PCA is applied directly to n-order tensors (n ges 3) rather than 1-order tensors (1D vectors) and 2 ...
Hongchuan Yu, Mohammed Bennamoun
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Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020
Heart failure (HF) prediction is a challenging issue in medical informatics and is considered a deadliest disease worldwide. Recent research has been concentrated on features transformation and selection for improved HF prediction. In this study, we search optimal feature extraction algorithm by evaluating the performance of different feature ...
Atiqur Rehman, Aurangzeb Khan, Muhammad Akhtar Ali, Muhammad Umair Khan, Shafqat Ullah Khan, Liaqat Ali   +5 more
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