Showing posts with the label data-driven

My 2nd Summer Internship in Google's Computer Vision Research Group

This summer I will be going for my 2nd summer internship at Google's Computer Vision Research G…

Learning Per-Exemplar Distance Functions == Learning Anisotropic Per-Exemplar Kernels for Non-Parametric Density Estimation

When estimating probability densities, one can be parametric or non-parametric. A parametric appro…

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