Joint Normalization and Dimensionality Reduction on Grassmannian: A Generalized Perspective
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2829106
Abstract: This letter proposes a generalized framework with joint normalization that learns lower dimensional subspaces with maximum discriminative power by using Riemannian geometry. We model the similarity/dissimilarity between subspaces using various metrics defined on Grassmannian and… read more here.
Keywords: joint normalization; geometry; dimensionality reduction; grassmann manifold ... See more keywords
Extrinsic Least Squares Regression with Closed-Form Solution on Product Grassmann Manifold for Video-Based Recognition
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/6598025
Abstract: Least squares regression is a fundamental tool in statistical analysis and is more effective than some complicated models with small number of training samples. Representing multidimensional data with product Grassmann manifold has recently led to… read more here.
Keywords: product grassmann; grassmann manifold; least squares; squares regression ... See more keywords
Grassmann Manifold Based State Analysis Method of Traffic Surveillance Video
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9071319
Abstract: For a contemporary intelligent transport system, congestion state analysis of traffic surveillance video (TSV) is one of the most crucial and intricate research topics because of the rapid development of transportation systems, the sustained growth… read more here.
Keywords: video; state analysis; grassmann manifold; surveillance ... See more keywords