Structured sparse multi-view feature selection based on weighted hinge loss
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6937-x
Abstract: In applications, using features obtained from multiple views to describe objects has become popular because multiple views contain much more information than the single view. As the dimensions of the data sets are high, which… read more here.
Keywords: view feature; multi view; view; feature selection ... See more keywords
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2767818
Abstract: Multi-view feature learning aims at improving the performances of learning tasks, by fusing various kinds of features (views), such as heterogeneous features and/or homogeneous features. Current leading multi-view feature learning approaches usually learn features in… read more here.
Keywords: view feature; feature learning; view; multi view ... See more keywords