In this paper, we address the problem of shadow detection and removal from single images of natural scenes. Different from traditional methods that explore pixel or edge informati...
Many recent keypoint detectors associate a local scale (for multiscale detectors) or even a full affine frame (for affine-invariant detectors) to each detected keypoint. Although ...
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
We study in this paper provenance information for queries with aggregation. Provenance information was studied in the context of various query languages that do not allow for aggr...
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum...