$e$PCA: High dimensional exponential family PCA
The Annals of Applied Statistics, 2018 Many applications, such as photon-limited imaging and genomics, involve large datasets with noisy entries from exponential family distributions. It is of interest to estimate the covariance structure and principal components of the noiseless distribution.
Liu, Lydia T. +2 more
openaire +4 more sources
Acta Agriculturae Slovenica, 2020 The ‘Žutica’ represents the most common Montenegrin olive varieties mainly used for the production of olive oil and green and black fruit canning.
Mirjana ADAKALIĆ +5 more
doaj +1 more source
Classification and analysis of the MNIST dataset using PCA and SVM algorithms
Vojnotehnički Glasnik, 2023 Introduction/purpose: The utilization of machine learning methods has become indispensable in analyzing large-scale, complex data in contemporary data-driven environments, with a diverse range of applications from optimizing business operations to ...
Mokhaled N. A. Al-Hamadani
doaj +1 more source
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
Potential Partnerships: Progressive Criminology, Grassroots Organizations and Social Justice
International Journal for Crime, Justice and Social Democracy, 2015 Criminologists around the globe are writing about the disproportionate criminalization of minority groups and – in the US in particular – about racial disproportionality in all aspects of the criminal justice system.
Tim Goddard +2 more
doaj +1 more source
Principal Component Analysis Based Wavelet Transform [PDF]
Engineering and Technology Journal, 2012 The principal component analysis (PCA) is a valuable statistical means, implemented in time domain that has found application in many fields such as face recognition and image compression, and is a common technique for finding patterns in data of high ...
Hana M. Salman
doaj +1 more source
Elevated Tumor Lactate and Efflux in High-grade Prostate Cancer demonstrated by Hyperpolarized 13C Magnetic Resonance Spectroscopy of Prostate Tissue Slice Cultures. [PDF]
, 2020 Non-invasive assessment of the biological aggressiveness of prostate cancer (PCa) is needed for men with localized disease. Hyperpolarized (HP) 13C magnetic resonance (MR) spectroscopy is a powerful approach to image metabolism, specifically the ...
Ahamed, Fayyaz +12 more
core +1 more source
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery [PDF]
IEEE Signal Processing Magazine, 2017 Principal component analysis (PCA) is one of the most widely used dimension reduction techniques. A related easier problem is termed subspace learning or subspace estimation.
Namrata Vaswani +3 more
semanticscholar +1 more source
Ruhuna Journal of Science, 2022 Stream sediment samples play an important role in identifying potential areas of metallic and non-metallic mineralization in mineral exploration studies.
Aref Shirazi +4 more
doaj +1 more source
APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO DROUGHT INDICATORS OF THREE REPRESENTATIVE CROATIAN REGIONS [PDF]
e-GFOS, 2021 Drought has become a very frequent hydrological event globally, including in Croatia. It can generally be explained by air temperature and precipitation changes on an annual and seasonal basis, owing to climate change.
Lidija Tadić +3 more
doaj +1 more source