A multi-feature selection approach for gender identification of handwriting based on kernel mutual information
N Bi, CY Suen, N Nobile, J Tan - Pattern Recognition Letters, 2019 - Elsevier
This paper presents a new flexible approach to predict the gender of the writers from their
handwriting samples. Handwriting features like slant, curvature, line separation, chain code …
handwriting samples. Handwriting features like slant, curvature, line separation, chain code …
Success based locally weighted multiple kernel combination
Abstract Multiple Kernel Learning (MKL) literature has mostly focused on learning weights
for base kernel combiners. Recent works using instance dependent weights have resulted in …
for base kernel combiners. Recent works using instance dependent weights have resulted in …
Systematic identification of relevant features for the statistical modeling of materials properties of crystalline solids
B Regler - 2022 - pure.mpg.de
Designing materials with desired properties is essential to developing new materials for
today's challenges. Historically, new materials have been discovered through trial and error …
today's challenges. Historically, new materials have been discovered through trial and error …
A Hybridization Approach for Optimal Feature Subset Selection in High Dimensional Data
KC Sharmili, A Chilambuchelvan - International Journal of …, 2018 - World Scientific
Feature subset selection assumes an essential part in the fields of data mining and machine
learning. A good feature subset selection algorithm can adequately expel unimportant and …
learning. A good feature subset selection algorithm can adequately expel unimportant and …
[PDF][PDF] Classification of Malignant Brain Tumors using MRI by Machine Learning...
A Vidyarthi - 2017 - idr.mnit.ac.in
Brain Tumor is one among the most noxious diseases in the arena of medical science. The
process of brain tumor identification requires a moderately sophisticated assessment of the …
process of brain tumor identification requires a moderately sophisticated assessment of the …