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Measuring uncertainty in human visual segmentation
We show that image uncertainty affects measured human variability, and it influences how participants weigh different visual features.
Flexibly Regularized Mixture Models and Application to Image Segmentation
Our flexible approach can be easily generalized to adapt probabilistic mixture models to arbitrary data topologies.
Exact Sampling of Determinantal Point Processes without Eigendecomposition
The exact algorithm to sample DPPs uses the spectral decomposition of $K$, a computation that becomes costly when dealing with a high number of points.
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