We attack the problem of image-based rendering with occlusions and general camera motions by using distorted multiperspective images; such images provide multiple-viewpoint photom...
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...