https://faculty.cst.temple.edu/~szyld/reports/randCholQR_rev2_report.pdf
In this paper, we first present and analyze a randomized algorithm called randQR for orthogonalizing the columns of a tall-and-skinny matrix with respect to a specific inner product. In order to reduce the cost of the computations, we propose to use “multisketching,” i.e., the use of two consecutive sketch matrices, within randQR. Using randQR with multisketching as a preconditioner for ...
https://teaching.temple.edu/sites/teaching/files/resource/pdf/A%20Guide%20to%20LGBTQIA%2B%20Terminology.pdf
A Guide to LGBTQIA+ Terminology This glossary was written to give you the words and meanings to help you feel more comfortable working toward creating an LGBTQIA+ inclusive learning environment. We’d like you to note that language is always evolving and is context dependent, and thus it can never hurt to ask if a term is ok for you to use or what is meant when a term is used by others.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...
https://sites.temple.edu/pdames/files/2016/07/DamesTokekarKumarISRR2015.pdf
Abstract Target tracking is a fundamental problem in robotics research and has been the subject of detailed studies over the years. In this paper, we introduce a new formulation, based on the mathematical concept of random finite sets, that allows for tracking an unknown and dynamic number of mobile targets with a team of robots. We show how to employ the Probability Hypothesis Density filter ...
https://cis.temple.edu/~latecki/Papers/skeletonPAMI06.pdf
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution Xiang Bai, Longin Jan Latecki, Wen-Yu Liu,