https://www.fox.temple.edu/directory/guangwen-crystal-kong-tul69180
Fox School of Business and Management Statistics, Operations, and Data Science Associate Professor Cochrane Research Fellow
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https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf
1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...
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 ...
http://fim.temple.edu/idp/profile/cas/login?execution=e1s1
Stale Request You may be seeing this page because you used the Back button while browsing a secure web site or application. Alternatively, you may have mistakenly ...
https://sites.temple.edu/vahid/2022/03/05/hackerrank-solutions-tree-huffman-decoding/
Problem Huffman coding assigns variable length codewords to fixed length input characters based on their frequencies. More frequent characters are assigned shorter codewords and less frequent characters are assigned longer codewords. All edges along the path to a character contain a code digit. If they are on the left side of the tree, they will be a 0 (zero). If on the right, they’ll be a 1 ...
https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
Classical Binary Hopfield Networks More complicated, patterns like (binary) images can be learned.
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https://cis.temple.edu/~latecki/Papers/CSD_CVPR10.pdf
Abstract In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formal-ize the convex decomposition problem as an integer linear programming problem, and obtain approximate optimal so-lution by minimizing the total cost of decomposition under some concavity constraints. Our method is based on Morse theory and combines information from multiple Morse ...
https://news.temple.edu/news/2025-09-12/temple-wins-ncaa-grant-launch-ai-powered-mentorship-app-student-athletes
Temple earns NCAA grant to develop JournAI, an AI-powered app helping student-athletes with career, life skills and holistic well-being.