Learning Deep Sparse Regularizers with Applications to Multi-View Clustering and Semi-Supervised Classification.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3082632
Abstract: Sparsity constrained optimization problems are common in machine learning, such as sparse coding, low-rank minimization and compressive sensing. However, most of previous studies focused on constructing various hand-crafted sparse regularizers, while little work was devoted… read more here.
Keywords: sparse regularizers; multi view; view clustering; deep sparse ... See more keywords