The paper proposes a novel approach for classification of sports images based on the geometric information encoded in the image of a sport's field. The proposed approach uses ...
Balamanohar Paluri, S. Nalin Pradeep, Hitesh Shah,...
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
In this paper, our goal is to reconstruct metric 3D models for large structures (or other 3D objects) from uncalibrated images. The internal camera parameters are estimated by usi...
Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of ...