We present a document analysis system able to assign logical labels and extract the reading order in a broad set of documents. All information sources, from geometric features and ...
—In need of interesting material and effective teaching approach in programming learning, students were ely to drop out of the course for the abstract concepts and complex struct...
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
In a scheduling game, each player owns a job and chooses a machine to execute it. While the social cost is the maximal load over all machines (makespan), the cost (disutility) of ...
In this paper we propose a hybrid system that bridges the gap between traditional image processing methods, used for low-level object recognition, and abductive constraint logic pr...