Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
—One popular solution for reducing the resource consumption of Intrusion Detection System (IDS) in MANET is to elect a head-cluster (leader) to provide intrusion detection servic...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...