Kernelized Multiview Subspace Analysis By Self-Weighted Learning

• Published in: IEEE transactions on multimedia Vol. 23; pp. 3828 - 3840
• Main Authors: Wang, Huibing, Wang, Yang, Zhang, Zhao, Fu, Xianping, Zhuo, Li, Xu, Mingliang, Wang, Meng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Co-regularized; Correlation; Dimensionality reduction; Image classification; Image management; Image retrieval; Kernel; kernel space; kernelized multiview subspace analysis; Laplace equations; Learning; Multimedia; multiview learning; Optimization; Reduction; Representations; self-weighted; Sparse matrices

With the popularity of multimedia technology, information is always represented from multiple views. Even though multiview data can reflect the same sample from different perspectives, multiple views are consistent to some extent because they are representations of the same sample. Most of the exist...