Sparse non-negative transition subspace learning for image classification

Z Chen, XJ Wu, YH Cai, J Kittler - Signal Processing, 2021 - Elsevier
Recently many variations of least squares regression (LSR) have been developed to
address the problem of over-fitting that widely exists in the task of image classification …
被引用次数：15 相关文章

Sparse non-negative transition subspace learning for image classification

Z Chen, XJ Wu, YH Cai, J Kittler - Signal processing, 2021 - openresearch.surrey.ac.uk
• A s parse non negative transition subspace learning (SN TSL) algorithm is proposed to
solve the over fitting problem.• The l1 norm sparsity and non negativity constraints are …

Sparse non-negative transition subspace learning for image classification

Z Chen, XJ Wu, YH Cai, J Kittler - Signal Processing, 2021 - ui.adsabs.harvard.edu
A s parse non negative transition subspace learning (SN TSL) algorithm is proposed to
solve the over fitting problem. The l 1 norm sparsity and non negativity constraints are …