Recent studies have shown the satisfactory results of the matrix factorization technique in
Multi-view Clustering (MVC). Compared with the single-layer formed clustering models, the …

Matrix factorization is an important technology that obtains the latent representation of data
by mining the potential structure of data. As two popular matrix factorization techniques …

Improvements in networking technologies and the steadily increasing numbers of users, as
well as the shift from traditional broadcasting to streaming content over the Internet, have …

Multi-view learning methods often focus on improving decision accuracy while neglecting
the decision uncertainty, which significantly restricts their applications in safety-critical …

Flexible optimization on video coding computational complexity is imperative to adapt to
diverse terminals in video streaming, especially with high definition videos and increasingly …

Multi-view learning methods often focus on improving decision accuracy, while neglecting
the decision uncertainty, limiting their suitability for safety-critical applications. To mitigate …

Evolutionary strategic choice algorithm of the professional cultural guiding in local newly-
built college based on multi-view data mining is designed and implemented in the paper …