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Approximate Inference in Continuous Determinantal Processes
Published on Nov 07, 20141842 Views
Determinantal point processes (DPPs) are random point processes well-suited for modeling repulsion. In machine learning, the focus of DPP-based models has been on diverse subset selection from a discr
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Approximate Inference in Continuous Determinantal Point Processes00:00
DPPs on Continuous Spaces00:50
Mixture of Gaussian with DPP Prior02:21
Synthesizing Human Pose03:02