Aug 20, 2020 · In this paper, we target the joint feature and instance selection by adopting feature subset relevance and sparse modeling representative selection.

In this paper, we target the joint feature and instance selection by adopting feature subset relevance and sparse modeling representative selection. More ...

In this paper, we target the joint feature and instance selection by adopting feature subset relevance and sparse modeling representative selection.

Abstract: In many pattern recognition applications feature selection and instance selection can be used as two data preprocessing methods that aim at ...

Aug 20, 2020 · In this paper, we target the joint feature and instance selection by adopting feature subset relevance and sparse modeling representative ...

Joint feature and instance selection using manifold data criteria: application to image classification ... with feature selection for image categorization.

In many pattern recognition applications feature selection and instance selection can be used as two data preprocessing methods that aim at reducing.

In this paper, we propose a novel unsupervised feature selection framework, named as joint adaptive manifold and embedding learning for unsupervised feature ...

In this paper, we address joint feature and instance selection using scores derived from discriminant analysis theory. We present three approaches for joint ...

Joint feature and instance selection using manifold data criteria: Application to image classification. Artificial Intelligence Review., 2020. F. Dornaika ...