Trigraph Regularized Collective Matrix Tri-Factorization Framework on Multiview Features for Multilabel Image Annotation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950701
Abstract: Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because… read more here.
Keywords: tri factorization; image annotation; annotation; image ... See more keywords
Scalable non-negative matrix tri-factorization
Sign Up to like & getrecommendations! Published in 2017 at "BioData Mining"
DOI: 10.1186/s13040-017-0160-6
Abstract: BackgroundMatrix factorization is a well established pattern discovery tool that has seen numerous applications in biomedical data analytics, such as gene expression co-clustering, patient stratification, and gene-disease association mining. Matrix factorization learns a latent data… read more here.
Keywords: matrix tri; factorization; matrix; tri factorization ... See more keywords
Robust capped norm dual hyper-graph regularized non-negative matrix tri-factorization
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023556
Abstract: Non-negative matrix factorization (NMF) has been widely used in machine learning and data mining fields. As an extension of NMF, non-negative matrix tri-factorization (NMTF) provides more degrees of freedom than NMF. However, standard NMTF algorithm… read more here.
Keywords: tri factorization; matrix tri; non negative; negative matrix ... See more keywords