A review on machine learning principles for multi-view biological data integration

Y Li, FX Wu, A Ngom - Briefings in bioinformatics, 2018 - academic.oup.com
Driven by high-throughput sequencing techniques, modern genomic and clinical studies are
in a strong need of integrative machine learning models for better use of vast volumes of …

Image set classification using holistic multiple order statistics features and localized multi-kernel metric learning

J Lu, G Wang, P Moulin - … of the IEEE international conference on …, 2013 - cv-foundation.org
This paper presents a new approach for image set classification, where each training and
testing example contains a set of image instances of an object captured from varying …

Survey and experimental study on metric learning methods

D Li, Y Tian - Neural networks, 2018 - Elsevier
Distance metric learning has been a hot research spot recently due to its high effectiveness
and efficiency in improving the performance of distance related methods, such as k nearest …

Parametric local metric learning for nearest neighbor classification

J Wang, A Kalousis, A Woznica - Advances in neural …, 2012 - proceedings.neurips.cc
We study the problem of learning local metrics for nearest neighbor classification. Most
previous works on local metric learning learn a number of local unrelated metrics. While …