— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
This paper presents a layered framework for 3D-TV applications, combining multiview and depth-image based approaches in a scalable fashion. To solve the problem of missing data du...
– Sound source localization on a mobile robot can be a difficult task due to a variety of problems inherent to a real environment, including robot ego-noise, echoes, and the tran...
— It is well-known that the Kalman filter for simultaneous localization and mapping (SLAM) converges to a fully correlated map in the limit of infinite time and data [1]. Howev...
Metadata is the information that describes the most important feature of an object. In recent years, metadata plays a more and more important role in data intensive applications. I...