We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
Games may be represented in many different ways, and different representations of games affect the complexity of problems associated with games, such as finding a Nash equilib...
In this paper, we address the tradeo between exploration and exploitation for agents which need to learn more about the structure of their environment in order to perform more e e...
Shlomo Argamon-Engelson, Sarit Kraus, Sigalit Sina
This sketch presents the design and preliminary results of a study that investigates the transference of motor skills learned in a haptic-enabled virtual environment to performanc...
Christopher Sewell, Nikolas H. Blevins, Sumanth Pe...