Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Abstract. We study an online version of Fisher's linear case market. In this market there are m buyers and a set of n dividable goods to be allocated to the buyers. The utilit...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwa...
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...