Facilitating text reading in posterior cortical atrophy [PDF]
, 2015 Objective We report 1) the first quantitative investigation of text reading in posterior cortical atrophy (PCA); and 2) the effects of two novel software-based reading aids that result in dramatic improvements in PCA patients' reading ability.
Crutch, SJ +4 more
core +1 more source
Sparse PCA on fixed-rank matrices [PDF]
Mathematical Programming, Series A, 2022, 2022 Sparse PCA is the optimization problem obtained from PCA by adding a sparsity constraint on the principal components. Sparse PCA is NP-hard and hard to approximate even in the single-component case. In this paper we settle the computational complexity of sparse PCA with respect to the rank of the covariance matrix.
arxiv
Multi-lectin Affinity Chromatography and Quantitative Proteomic Analysis Reveal Differential Glycoform Levels between Prostate Cancer and Benign Prostatic Hyperplasia Sera. [PDF]
, 2018 Currently prostate-specific antigen is used for prostate cancer (PCa) screening, however it lacks the necessary specificity for differentiating PCa from other diseases of the prostate such as benign prostatic hyperplasia (BPH), presenting a clinical need
Adusumilli, Ravali +6 more
core +2 more sources
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations [PDF]
arXiv, 2023 We study the fairness of dimensionality reduction methods for recommendations. We focus on the established method of principal component analysis (PCA), which identifies latent components and produces a low-rank approximation via the leading components while discarding the trailing components.
arxiv
Journal of Pain Research, 2022 Ahmed Salah Abdelgalil, Ahmed Mansour Ahmed, Reham M Gamal, Mamdouh Mahmoud Elshal, Ahmed Hussein Bakeer, Ehab Hanafy Shaker Anesthesia, Intensive Care and Pain Management, National Cancer Institute, Cairo University, Cairo, EgyptCorrespondence: Ahmed ...
Abdelgalil AS +5 more
doaj
Revista Internacional de Ciencias del Deporte, 2021 Principal Component Analysis (PCA) has not been used to assess the principal component (PC) of players´ external training loads (TL) in futsal. In addition, no previous study has analyzed the PC of players´ external TL depending on the half of the match ...
Markel Rico-González +3 more
doaj +1 more source
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data [PDF]
arXiv, 2023 The recent introduction of synthetic correlated diffusion (CDI$^s$) imaging has demonstrated significant potential in the realm of clinical decision support for prostate cancer (PCa). CDI$^s$ is a new form of magnetic resonance imaging (MRI) designed to characterize tissue characteristics through the joint correlation of diffusion signal attenuation ...
arxiv
Spectral–Spatial Attention-Guided Multi-Resolution Network for Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPansharpening is a technique that combines high-resolution panchromatic (PAN) images with low-resolution multispectral (MS) images to produce high-resolution MS (HRMS) images.
Shen Xu +3 more
doaj +1 more source
Tumour-derived alkaline phosphatase regulates tumour growth, epithelial plasticity and disease-free survival in metastatic prostate cancer [PDF]
, 2016 BACKGROUND: Recent evidence suggests that bone-related parameters are the main prognostic factors for overall survival in advanced prostate cancer (PCa), with elevated circulating levels of alkaline phosphatase (ALP) thought to reflect the dysregulated ...
A E Snaith +44 more
core +1 more source
On the efficiency-loss free ordering-robustness of product-PCA [PDF]
arXiv, 2023 This article studies the robustness of the eigenvalue ordering, an important issue when estimating the leading eigen-subspace by principal component analysis (PCA). In Yata and Aoshima (2010), cross-data-matrix PCA (CDM-PCA) was proposed and shown to have smaller bias than PCA in estimating eigenvalues. While CDM-PCA has the potential to achieve better
arxiv