1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
Tomoya Sakai
What if deep neural networks can learn from sparsity-inducing priors? When the networks are designed by combining layer modules (CNN, RNN, etc), engineers less exploit the inductiv…
cs.CV2009★ 1 cited
Multiple pattern classification by sparse subspace decomposition
Tomoya Sakai
A robust classification method is developed on the basis of sparse subspace decomposition. This method tries to decompose a mixture of subspaces of unlabeled data (queries) into cl…