In this paper simultaneous localization and map building is performed with a hybrid, metric - topological, approach. A global topological map connects local metric maps, allowing ...
Nicola Tomatis, Illah R. Nourbakhsh, Roland Siegwa...
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maxi...
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
This paper focuses on the problem of word detection and recognition in natural images. The problem is significantly more challenging than reading text in scanned documents, and h...
Fast convergence to topology changes is a key requirement in modern routing infrastructure while reducing the protocol CPU overhead continues to be as important as before. In this...
Mukul Goyal, Weigao Xie, Mohd Soperi, Seyed H. Hos...