— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Convolution y(t) = a(t − s) · x(s) ds is one of the main techniques in digital signal processing. A straightforward computation of the convolution y(t) requires O(n2) steps, wh...
Abstract. In this work we introduce a new technique for a frequently encountered problem in computer vision: image registration. The registration is computed by matching features, ...
Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this ...
Jibonananda Sanyal, Song Zhang, Gargi Bhattachar...
— This paper addresses the consistency issue of the Extended Kalman Filter approach to the simultaneous localization and mapping (EKF-SLAM) problem. Linearization of the inherent...