Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
We consider the problem of computing stereo correspondence for scenes dense in physical structure, such as a bouquet of flowers. Boundaries are then space curves, formally govern...
In this paper, we propose a logical approach to represent and reason about different time granularities. We identify a time granularity as a discrete infinite sequence of time po...
We propose a collaborative reputation-based voice spam filtering framework. Our approach uses the cumulative online duration of a VoIP user to derive his reputation value. And we l...
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...