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pro vyhledávání: '"Varol, Erdem"'
Autor:
Wen, Junhao, Varol, Erdem, Yang, Zhijian, Hwang, Gyujoon, Dwyer, Dominique, Kazerooni, Anahita Fathi, Lalousis, Paris Alexandros, Davatzikos, Christos
The imaging community has increasingly adopted machine learning (ML) methods to provide individualized imaging signatures related to disease diagnosis, prognosis, and response to treatment. Clinical neuroscience and cancer imaging have been two areas
Externí odkaz:
http://arxiv.org/abs/2202.10945
Motion segmentation for natural images commonly relies on dense optic flow to yield point trajectories which can be grouped into clusters through various means including spectral clustering or minimum cost multicuts. However, in biological imaging sc
Externí odkaz:
http://arxiv.org/abs/1912.03463
Autor:
Varol, Erdem, Nejatbakhsh, Amin
In this paper, we expand upon the theory of trend filtering by introducing the use of the Wasserstein metric as a means to control the amount of spatiotemporal variation in filtered time series data. While trend filtering utilizes regularization to p
Externí odkaz:
http://arxiv.org/abs/1910.10822