Conformalized Tensor Completion with Riemannian Optimization
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2025.2554671
Abstract: Tensor data, or multi-dimensional arrays, is a data format popular in multiple fields such as social network analysis, recommender systems, and brain imaging. It is not uncommon to observe tensor data containing missing values, and… read more here.
Keywords: conformalized tensor; completion riemannian; tensor; tensor completion ... See more keywords
Riemannian Optimization for Active Mapping With Robot Teams
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2025.3526295
Abstract: Autonomous exploration of unknown environments using a team of mobile robots demands distributed perception and planning strategies to enable efficient and scalable performance. Ideally, each robot should update its map and plan its motion not… read more here.
Keywords: robot; riemannian optimization; optimization active; optimization ... See more keywords
Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2795539
Abstract: We consider the blind source separation (BSS) problem and the closely related approximate joint diagonalization (AJD) problem of symmetric positive definite (SPD) matrices. These two problems can be reduced to an optimization problem with three… read more here.
Keywords: approximate joint; source separation; riemannian optimization; blind source ... See more keywords