Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
The project Safe Pointers by Graph Transformation at the University of York has developed a method for specifying the shape of pointer-data structures by graph reduction, and a st...
Great stride has been made in psychological research about primitives of visual perception, which is important to computer vision and image processing. In this paper, we propose a...
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...