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» Mobile learning: A framework and evaluation
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ICML
2010
IEEE
13 years 10 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
MSWIM
2004
ACM
14 years 2 months ago
Consistency challenges of service discovery in mobile ad hoc networks
Emerging “urban” ad hoc networks resulting from a large number of individual WLAN users challenge the way users could explore and interact with their physical surroundings. Ro...
Christian Frank, Holger Karl
ROBOCUP
2007
Springer
91views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Detection of AIBO and Humanoid Robots Using Cascades of Boosted Classifiers
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...
Matías Arenas, Javier Ruiz-del-Solar, Rodri...
TCOM
2010
168views more  TCOM 2010»
13 years 3 months ago
A unified analysis of routing protocols in MANETs
This paper presents a mathematical framework for the evaluation of the performance of proactive and reactive routing protocols in mobile ad hoc networks (MANETs). This unified fram...
Hui Xu, Xianren Wu, Hamid R. Sadjadpour, J. J. Gar...
ISORC
2005
IEEE
14 years 2 months ago
Heterogeneous Adaptive Component-Based Applications with Adaptive.Net
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Andreas Rasche, Marco Puhlmann, Andreas Polze