Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
In this paper, we consider the Grand Challenge under a very specific perspective: the enabling of application experts without programming knowledge to reliably model their busines...
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
The fundamental statistical strategy of improving sampling efficiency through partitioning the population is applied to software testing. Usage models make it possible to apply th...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...