Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
Wikipedia provides an information quality assessment model with criteria for human peer reviewers to identify featured articles. For this classification task “Is an article fea...
The deployment of Next-Generation Networks (NGN) is a challenge that requires integrating heterogeneous services into a global system of All-IP telecommunications. These networks c...
Igor Ruiz-Agundez, Yoseba K. Penya, Pablo Garcia B...