This paper presents a new technique for noise removal in images. It benefits both from the recent advances in waveletbased and variational denoising. Whereas wavelet-based analys...
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...