Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
The EvoSpaces reverse-engineering tool represents the architecture and metrics of complex software systems as 3D software cities. By navigating and interacting with this world, th...
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
For developers debugging their own code, augmenting the code of others, or trying to learn the implementation details of interactive behaviors, understanding how web pages work is...