C&EN

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science Workshop

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...
IEEE

Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches

Abstract: Linear discriminant analysis (LDA) faces challenges in practical applications due to the small sample size (SSS) problem and high computational costs. Various solutions have been proposed to ...
Frontiers

Review of Variable Selection Methods for Discriminant-Type Problems in Chemometrics

Discriminant-type analyses arise from the need to classify samples based on their measured characteristics (variables), usually with respect to some observable property. In the case of samples that ...
C&EN

Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis

Partial least squares discriminant analysis (PLS-DA) is a well-known technique for feature extraction and discriminant analysis in chemometrics. Despite its popularity, it has been observed that ...
PNAS

Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood

Vibrational spectroscopy is an ideal technique for analysis of biofluids, as it provides a “spectral fingerprint” of all of the molecules present within a biological sample, thus generating a holistic ...
Business Wire

MathWorks Announces Release 2016b of the MATLAB and Simulink Product Families

NATICK, Mass.--(BUSINESS WIRE)--MathWorks today introduced Release 2016b (R2016b) with new capabilities that simplify working with big data in MATLAB. Engineers and scientists can now more easily work ...
Frontiers

Linear Discriminant Analysis Achieves High Classification Accuracy for the BOLD fMRI Response to Naturalistic Movie Stimuli

Naturalistic stimuli like movies evoke complex perceptual processes, which are of great interest in the study of human cognition by functional MRI (fMRI). However, conventional fMRI analysis based on ...
IEEE

Subspace Learning from Image Gradient Orientations

Abstract: We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data are typically noisy and noise is substantially different ...