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Model Transport: Towards Scalable Transfer Learning on Manifolds.

, , and . CVPR, page 1378-1385. IEEE Computer Society, (2014)

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Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation., , , , and . CoRR, (2015)A Deep Moving-Camera Background Model., , and . ECCV (35), volume 13695 of Lecture Notes in Computer Science, page 177-194. Springer, (2022)Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 818-835. PMLR, (2022)Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 1432-1456. PMLR, (2022)Wavelet Convolutions for Large Receptive Fields., , , and . CoRR, (2024)Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution., , and . Int. J. Biomedical Imaging, (2009)Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation., and . UAI, volume 180 of Proceedings of Machine Learning Research, page 579-588. PMLR, (2022)A framework for relating neural activity to freely moving behavior., , , , , and . EMBC, page 2736-2739. IEEE, (2012)Diffeomorphic Temporal Alignment Nets., , , , and . NeurIPS, page 6570-6581. (2019)JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces., , , , and . CVPR, page 12582-12591. Computer Vision Foundation / IEEE, (2020)