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Search Publications by: Camillo Gentile (Fed)

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Displaying 151 - 171 of 171

General Purpose Calculator for Outdoor Propagation Loss

February 1, 2005
Author(s)
Leonard E. Miller, Camillo Gentile, D Kaspar
We have implemented a quantum key distribution (QKD) system with polarization encoding at 850 nm over 1 km of optical fiber. The high-speed management of the bit-stream, generation of random numbers and processing of the sifting algorithm are all handled

Segmentation for Robust Tracking in the Presence of Severe Occlusion

February 18, 2004
Author(s)
Camillo A. Gentile, M Sznaier, O Camps
Tracking an object in a sequence of images can fail due to partial occlusion or clutter. Robustness to occlusion can be increased by tracking the object as a set of parts such that not all of these are occluded at the same time. However, successful

Expected Multi-Hop Power Consumption in Mobile Ad-Hoc Networks

March 1, 2003
Author(s)
Camillo A. Gentile
Mobile Ad-Hoc Networks provide the means to reduce significantly the power required for routing from source to destination through multi-hops between other nodes in the network. In the presence of mobility, only continuous updating can guarantee routes

Kinetic Minimum-Power Routing and Clustering in Mobile Ad-Hoc Networks

September 1, 2002
Author(s)
Camillo Gentile, R E. Van Dyck, J Haerri
We have previously developed a distributed routing algorithm which minimizes the number of overhead messages necessary to maintain the minimum-power multi-hop routes in a mobile ad-hoc network, assuming a piece-wise linear model for the motion of the nodes

Kinetic Spanning Trees for Minimum-Power Routing in MANETS

May 30, 2002
Author(s)
Camillo Gentile, R E. Van Dyck
A distributed kinetic spanning tree algorithm is proposed for routing in wireless mobile ad hoc networks. Assuming a piecewise linear motion model for the nodes, the sequence of shortest-path spanning trees is determined, valid until the time of the next

Segmentation for Robust Tracking in the Presence of Severe Occlusion

December 3, 2001
Author(s)
Camillo A. Gentile, M Sznaier, O Camps
Tracking an object in a sequence of images can fail due to partial occlusion or clutter. Robustness can be increased by tracking a set of parts, provided that a suitable set can be identified. In this paper we propose a novel segmentation, specifically

Segmentation for Robust Tracking in the Presence of Severe Occlusion

December 1, 2001
Author(s)
Camillo Gentile, M Sznaier, O Camps
Tracking an object in a sequence of images can fail due to partial occlusion or clutter. Robustness can be increased by tracking a set of ¿parts¿, provided that a suitable set can be identified. In this paper we propose a novel segmentation, specifically

An Improved Voronoi-Diagram-Based Neural Net for Pattern Classification

September 12, 2001
Author(s)
Camillo A. Gentile, M Sznaier
In this brief paper, we propose a novel two-layer neural network to answer a point query in Rn which is partitioned into polyhedral regions. Such a task solves among others nearest neighbor clustering. As in previous approaches to the problem, our design