We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
: Measuring ellipticity is an important area of computer vision systems. Most existing ellipticity measures are area based and cannot be easily applied to point sets such as extrac...
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 $D$...
Large collections of 3D models from the same object class (e.g., chairs, cars, animals) are now commonly available via many public repositories, but exploring the range of shape v...
Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephe...
This paper presents three feedback controllers that achieve an asymptotically stable, periodic, and fast walking gait for a 3D bipedal robot consisting of a torso, revolute knees, ...
Christine Chevallereau, Jessy W. Grizzle, Ching-Lo...