https://sites.temple.edu/tudsc/2017/03/30/measuring-similarity-between-texts-in-python/
By Luling Huang This post demonstrates how to obtain an n by n matrix of pairwise semantic/cosine similarity among n text documents. Finding cosine similarity is a basic technique in text mining. My purpose of doing this is to operationalize “common ground” between actors in online political discussion (for more see Liang, 2014, p. 160). The tools are Python libraries scikit-learn (version ...
https://sites.temple.edu/edvice/2019/11/05/blended-hybrid-and-flipped-courses-whats-the-difference/
Ariel Siegelman, Senior Instructional Technology Specialist If you’ve read about or attended workshops on approaches to teaching and learning with technology, chances are you’ve come across a few different terms to describe classes that have an online component. What are blended, hybrid, and flipped courses? Are they all describing the same approach to teaching, or are they different from ...
https://cis.temple.edu/~ingargio/cis587/readings/rete.html
The Rete Algorithm [References] is intended to improve the speed of forward-chained rule systems by limiting the effort required to recompute the conflict set after a rule is fired. Its drawback is that it has high memory space requirements. It takes advantage of two empirical observations:
https://sites.temple.edu/americanicons/2018/03/01/christ-the-redeemer-and-the-statue-of-liberty-great-guardians-of-nations-by-morgan-odonnell/
When thinking about national statues and monuments, my mind flashed back to a picture I saw when I was twelve and nearing the height of my Jonas Brothers obsession. It was a photo of the three brothers at the Christ the Redeemer statue in Rio de Janeiro, Brazil. I knew nothing about the statue at the time but I was struck by how massive and looming it was compared to the size of an average ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://tuljournals.temple.edu/index.php/strategic_visions/article/download/463/316
Morales’s early chapters detail the history of Puerto Rico under US colonial rule. Morales documents how the introduction of the US dollar devalued local currency and permitted international investors to penetrate the island’s economy in ways detrimental to its economic self-sufficiency (36). Insights into mainland views on Puerto Rico, and the implications of US citizenship, are this ...
https://scholarshare.temple.edu/server/api/core/bitstreams/d5d8ff3d-a246-44fa-ba1a-7ed48b4e6adf/content
Professor of Law, Temple University, Beasley School of Law. The author thanks Temple University, Beasley School of Law for research support, and Kristen Tiscione, Kirsten Davis, and Kristen Murray for the discussions and feedback that inspired this article. Many thanks also to Megan Albright and Emily Kowey for their able research assistance.
https://ibit.temple.edu/analytics/files/2015/10/Art-of-infographics-2015.pdf
CMYK (CYAN, MAGENTA,YELLOW AND BLACK ) CMYK are the colors used in printing inks. These four colors are used in printing because virtually any visible color can be created simply by mixing them in various amounts. CMYK is a ‘subtractive color’ process, which works by subtracting the colors of light reflected on a piece of white paper. In other words, each color of ink on the paper reduces ...
https://cis.temple.edu/~latecki/Papers/ACM_MM2023.pdf
ABSTRACT Image stitching aims to align a pair of images in the same view. Generating precise alignment with natural structures is challeng-ing for image stitching, as there is no wider field-of-view image as a reference, especially in non-coplanar practical scenarios. In this paper, we propose an unsupervised image stitching frame-work, breaking through the coplanar constraints in homography ...
https://cis.temple.edu/~latecki/Papers/ICIP2019.pdf
ABSTRACT The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this prob-lem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic seg-mentation. More specifically, the encoder adopts a ResNet as backbone network, where two new ...