Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
This paper proposes a hybrid foreground object detection method suitable for the marine surveillance applications. Our approach combines an existing foreground object detection met...
Daniel Socek, Dubravko Culibrk, Oge Marques, Hari ...
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both eļ¬cient and versatile, since can dea...
āTo deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known, the adaptive constraint-filtering method...