Filtering
Artificial Intelligence
Zero-Shot Player Tracking in Tennis with Kalman Filtering
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homographyIn summary, this project demonstrates how we will use GroundingDINO’s zero-shot capabilities to trace tennis players without counting on labeled data, transforming complex object...
Artificial Intelligence
Recommender System: Collaborative Filtering with Matrix Factorization
Explanation of Recommendations through Matrix Factorization Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. https://doi.org/10.1145/2827872
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