We propose a new data dissemination protocol for wireless sensor networks, that basically pulls some additional knowledge about the network in order to subsequently improve data fo...
Ioannis Chatzigiannakis, Athanasios Kinalis, Sotir...
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, ...
In certain reliable group-oriented and multicast applications, a source needs to securely verify whether all (and if not all, which) intended receivers have received a message. How...
Claude Castelluccia, Stanislaw Jarecki, Jihye Kim,...
1 In this paper we address the problem of selecting probe station locations from where probes can be sent to monitor all the nodes in the network. Probe station placement involves...