We present a method for learning complex appearance mappings, such as occur with images of articulated objects. Traditional interpolation networks fail on this case since appearan...
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
We present a data-driven algorithm for interactive 3D human character posing. We formulate the problem in a maximum a posteriori (MAP) framework by combining the user’s inputs w...