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» Mobile learning: A framework and evaluation
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ROBOCOMM
2007
IEEE
14 years 3 months ago
Path planning using Shi and Karl level sets
—Path planning for mobile robots is a well researched problem for over three decades. In this paper, we test and evaluate a new approach based on Shi and Karl Level Sets for mobi...
Randeep Singh, Nagaraju Bussa
MDM
2010
Springer
153views Communications» more  MDM 2010»
14 years 1 months ago
Dessy: Search and Synchronization on the Move
—Current smartphones have a storage capacity of several gigabytes. More and more information is stored on mobile devices. To meet the challenge of information organization, we tu...
Eemil Lagerspetz, Sasu Tarkoma, Tancred Lindholm
CADUI
2004
13 years 10 months ago
A Lightweight Experiment Management System for Handheld Computers
: This paper describes a system that helps HCI practitioners and researchers manage and conduct experiments involving context-sensitive handheld applications, particularly related ...
Philip D. Gray, Joy Goodman, James Macleod
CVPR
2008
IEEE
14 years 11 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
SEKE
2004
Springer
14 years 2 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...