Results 71 to 80 of about 564,038 (269)
Land, 2022 The primary purpose of this study is to develop a method that can assist in exploring infrastructure-related multidimensional data. The spatial distribution of social infrastructure, including housing and service facilities, is usually uneven across a ...
Seong-Yun Hong +4 more
doaj +1 more source
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis
, 2018 Sparse representation-based classification (SRC), proposed by Wright et al., seeks the sparsest decomposition of a test sample over the dictionary of training samples, with classification to the most-contributing class.
A. Singer +20 more
core +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
, 2014 Networks are a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a generative approach to network inference (RCweb) for the case when the network is sparse ...
Slavov, Nikolai
core +2 more sources
Robust sparse principal component analysis
, 2011 A method for principal component analysis is proposed that is sparse and robust at the same time. The sparsity delivers principal components that have loadings on a small number of variables, making them easier to interpret. The robustness makes the analysis resistant to outlying observations.
Croux, Christophe +2 more
openaire +2 more sources
Certifiably optimal sparse principal component analysis [PDF]
Mathematical Programming Computation, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lauren Berk, Dimitris Bertsimas
openaire +4 more sources
Aging and Cancer, EarlyView.Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
Information-theoretically Optimal Sparse PCA
, 2014 Sparse Principal Component Analysis (PCA) is a dimensionality reduction technique wherein one seeks a low-rank representation of a data matrix with additional sparsity constraints on the obtained representation. We consider two probabilistic formulations
Deshpande, Yash, Montanari, Andrea
core +1 more source
Sparse Functional Principal Component Analysis in High Dimensions
Statistica Sinica, 2023 27 pages, 2 figures, 3 ...
Hu, Xiaoyu, Yao, Fang
openaire +2 more sources
Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim +3 more
wiley +1 more source