Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Introspection is a fundamental component of how we as humans reason, learn, and adapt. However, many existing computer reasoning systems exclude the possibility of introspection b...
We consider the problem of human parsing with partbased models. Most previous work in part-based models only considers rigid parts (e.g. torso, head, half limbs) guided by human a...
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...
We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecolog...
Deana Pennington, Joshua S. Madin, Ferdinando Vill...