Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2729660
Abstract: Symmetric positive definite (SPD) matrices have been employed for data representation in many visual recognition tasks. The success is mainly attributed to learning discriminative SPD matrices encoding the Riemannian geometry of the underlying SPD manifolds.… read more here.
Keywords: similarity learning; spd manifolds; geometry; geometry aware ... See more keywords
Geometry-Aware Merge Tree Comparisons for Time-Varying Data with Interleaving Distances
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3163349
Abstract: Merge trees, a type of topological descriptors, serve to identify and summarize the topological characteristics associated with scalar fields. They present a great potential for the analysis and visualization of time-varying data. First, they give… read more here.
Keywords: geometry aware; geometry; merge; time varying ... See more keywords