In this paper we present supervised dimensionality reduction (DR) approaches that try to maximize the mutual information (MI) between the class labels and the ...

In this paper we present supervised dimensionality reduction (DR) approaches that try to maximize the mutual informa- tion (MI) between the class labels and the ...

Download Citation | On Sep 1, 2016, Shuai Huang and others published Dimensionality reduction for image classification via mutual information maximization ...

Dimensionality reduction of the raw input variable space is an essential pre-processing step in the classification process. There are two main reasons to keep ...

Jun 9, 2023 · mutual information maximization method that emphasizes the importance of target's uncertainty reduction. To pursue a better partition effect ...

Dimensionality Reduction (DR) is the pre-processing step to remove redundant features, noisy and irrelevant data, in order to improve learning feature ...

We focus on heart disease diagnosis by introducing the mutual information method (mRMR) and emphasizing the advantage of original dataset ( 74 features)

Paper Title: DIMENSIONALITY REDUCTION FOR IMAGE CLASSIFICATION VIA MUTUAL INFORMATION MAXIMIZATION ; IEEE Xplore Open Preview: Click here to view in IEEE Xplore.

Dimensionality Reduction and Classification feature using Mutual Information applied to Hyperspectral Images : A Filter strategy based algorithm.

In this work we suggest a way of quantifying this information using information theoretic notions and show how features which maximize this information can be ...