Exploiting the emerging reality of affordable multi-core architeces through providing programmers with simple abstractions that would enable them to easily turn their sequential p...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Recent advances in scene understanding and related tasks
have highlighted the importance of using regions to reason
about high-level scene structure. Typically, the regions are
...
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...
In this paper, we describe a new method for camera-based fiducial tracking. Our new method is based on the combination of topological region adjacency and angle information, where...