Results 31 to 40 of about 536,157 (280)
Low-Rank Kernel-Based Semisupervised Discriminant Analysis
Applied Computational Intelligence and Soft Computing, 2016 Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu +3 more
doaj +1 more source
ESG companies classification: application to Nasdaq companies
Finance, Markets and Valuation, 2019 This paper analyzes the discrimination of sustainable companies taking into account their overall ESG score. For this, a linear discriminant model is described through economic and financial variables, the size of the companies, as well as their ...
Oliver-Muncharaz, Javier
doaj +1 more source
Stochastic Discriminant Analysis [PDF]
2015 International Joint Conference on Neural Networks (IJCNN), 2015 In this paper, we consider a linear supervised dimension reduction method for classification settings: Stochastic Discriminant Analysis. This method matches point similarities in the projection space with those in a response space. These similarities are represented by t-distributed joint pairwise probabilities.
Mika Juuti +2 more
openaire +1 more source
Latent Fisher Discriminant Analysis [PDF]
, 2013 Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. Previous studies have also extended the binary-class case into multi-classes.
Chen, Gang
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
, 2015 Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang +3 more
core +1 more source
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Advanced Healthcare Materials, EarlyView.Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
Recognizing Text Genres with Simple Metrics Using Discriminant Analysis [PDF]
, 1994 A simple method for categorizing texts into predetermined text genre categories using the statistical standard technique of discriminant analysis is demonstrated with application to the Brown corpus.
Cutting, Douglass, Karlgren, Jussi
core +5 more sources
Advanced Healthcare Materials, EarlyView.This study demonstrates that ALY688, a drug mimicking the heart‐protective hormone adiponectin, reduces myocardial ischemia injury. ALY688 increases the production of extracellular vesicles, which carry protective cargo including adiponectin itself.
Jialing Tang +13 more
wiley +1 more source
Advanced Materials, EarlyView.An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang +6 more
wiley +1 more source