Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization

1 code implementation • 25 Jun 2021 • Haiyan Jiang, Shanshan Qin, Oscar Hernan Madrid Padilla

In this paper, we consider a new variant for principal component analysis (PCA), aiming to capture the grouping and/or sparse structures of factor loadings simultaneously.

Dimensionality Reduction feature selection

Contrastive Similarity Matching for Supervised Learning

no code implementations • 24 Feb 2020 • Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan

We propose a novel biologically-plausible solution to the credit assignment problem motivated by observations in the ventral visual pathway and trained deep neural networks.