Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
Zhouyu Fu (Australian National University), Antoni...
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
Selection of the most suitable nodes on a network to execute a parallel application requires matching the network status to the application requirements. We propose and validate a...
Conventional image-oriented cryptographic techniques lack the flexibility needed for content-specific security features such as the concealment of confidential information within ...
It is known that the use of video can help improve the performance of face verification systems. However, processing video in resource constrained devices is prohibitive. In order ...