https://www.temple.edu/academics/degree-programs/mathematics-major-st-math-bs
Master the most adaptable science with a program that ties theoretical equations and real-life quantitative data with the scientific and everyday applications of mathematics.
https://ibit.temple.edu/dt/the-resource-exchange/
Recently, Temple University students, Sofia Spadotto and Safaniya Paul, worked on a digitization project for The Resource Exchange. Karyn Gerred says… [The business] is an environmentally focused thrift shop, gallery + maker space that saves material from landfill for creative reuse However, the pandemic forced The Resource Exchange to pivot to online sales, and the business needed help ...
https://cis.temple.edu/~latecki/Courses/CIS601-04/Projects/Manjit/Computer%20Graphics%20and%20Image%20Processing.ppt
Image Segmentation by Clustering (Using Mahalanobis Distance) - Manjit Chintapalli What is Image Segmentation ? To humans, an image is not just a random collection of pixels; it is a meaningful arrangement of regions and objects. There also exits a variety of images: natural scenes, paintings, etc. Despite the large variations of these images, humans have no problem to interpret them. Image ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf
Both challenges pertain to optimizing personalized feder-ated learning, yet their solutions don’t cross-apply. Parame-ter decoupling protects local knowledge to prevent forgetting but falls short on sharing global insights, thus struggling with generalization. On the other hand, prototype learning curbs overfitting and boosts generalization by sharing class proto-types, yet it misses ...
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https://sthm-stage2.temple.edu/2021/11/03/eta-sigma-delta-receives-chapter-of-distinction-award-by-ichrie/
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https://cis.temple.edu/~latecki/Courses/CIS750-03/Papers/KalmanFilterSIGGRAPH2001.pdf
1. Introduction The Kalman filter is a mathematical power tool that is playing an increasingly important role in computer graphics as we include sensing of the real world in our systems. The good news is you don’t have to be a mathematical genius to understand and effectively use Kalman filters. This tutorial is designed to provide developers of graphical systems with a basic understanding ...