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Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors.

, , , and . WACV Workshops, page 1-9. IEEE Computer Society, (2016)

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D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM, , and . Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, page 1582--158. Phoenix, Arizona, USA., (February 2016)33\% contribution.Constructivist Approaches for Computational Emotions: A Systematic Survey., , and . ToM for Teams, volume 13775 of Lecture Notes in Computer Science, page 30-50. Springer, (2021)Scenario Generalization of Data-driven Imitation Models in Crowd Simulation., , , , and . MIG, page 36:1-36:11. ACM, (2019)Predicting Memorability via Early Fusion Deep Neural Network., , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation., , , and . AAAI, page 4710-4717. AAAI Press, (2018)Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction., , , , , , and . IJCAI, page 1328-1334. ijcai.org, (2022)k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification., and . Soft Comput., 14 (2): 151-159 (2010)Multiple SVM-RFE Using Boosting for Mammogram Classification., and . CSO (1), page 740-742. IEEE Computer Society, (2009)A Neural Network Approach for Birds of a Feather Solvability Prediction., and . AAAI, page 9706-9712. AAAI Press, (2019)Decentralized Approximate Bayesian Inference for Distributed Sensor Network., , and . AAAI, page 1582-1588. AAAI Press, (2016)