Paper

Kernelized Multiview Projection

Conventional vision algorithms adopt a single type of feature or a simple concatenation of multiple features, which is always represented in a high-dimensional space. In this paper, we propose a novel unsupervised spectral embedding algorithm called Kernelized Multiview Projection (KMP) to better fuse and embed different feature representations... (read more)

Results in Papers With Code
(↓ scroll down to see all results)