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CVPR
2008
IEEE
15 years 8 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
EMS
2008
IEEE
15 years 8 months ago
Threat Modeling Revisited: Improving Expressiveness of Attack
Threat modeling plays an important role in the deployment of optimal security controls and a number of threat modeling techniques have been proposed. However, most of the existing...
Drake Patrick Mirembe, Maybin K. Muyeba
ENTCS
2008
101views more  ENTCS 2008»
15 years 6 months ago
Improving Fault-based Conformance Testing
Fault-based conformance testing is a conformance testing strategy that relies on specific fault models. Previously, this mutation testing technique has been applied to protocol spe...
Bernhard K. Aichernig, Martin Weiglhofer, Franz Wo...
ENTCS
2006
139views more  ENTCS 2006»
15 years 6 months ago
Improving the Usability of a Graph Transformation Language
Model transformation tools implemented using graph transformation techniques are often expected to provide high performance. For this reason, in the Graph Rewriting and Transforma...
Attila Vizhanyo, Sandeep Neema, Feng Shi, Daniel B...
IJON
2007
73views more  IJON 2007»
15 years 6 months ago
Improvement of spike coincidence detection with facilitating synapses
A realistic model of activity dependent dynamical synapses is used to study the conditions in which a postsynaptic neuron detects temporal coincidences of spikes arriving from N d...
Jorge F. Mejías, Joaquín J. Torres