Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Remotely sensed data, in particular satellite imagery, play many important roles in environmental applications and models. In particular applications that study (rapid) changes in...
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
New acquisition and modeling tools make it easier to create 3D models, and affordable and powerful graphics hardware makes it easier to use them. As a result, the number of 3D mo...
Patrick Min, John A. Halderman, Michael M. Kazhdan...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...