Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.040
Abstract: Abstract Dealing with high-dimensional dataset has always been an important problem and feature selection is one of useful tools. In this paper, we develop a new filter based supervised feature selection method by combining Trace… read more here.
Keywords: criterion; feature; feature selection; trc ... See more keywords
Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3079808
Abstract: The trace ratio optimization (TRO) problem consists of finding an orthonormal basis for the discriminative subspace that maximizes the ratio of two trace operators on two covariance matrices corresponding to two distinctive classes or signal… read more here.
Keywords: trace ratio; ratio optimization; distributed adaptive; trace ... See more keywords