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» Pruning Training Sets for Learning of Object Categories
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ALT
2009
Springer
14 years 6 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
VR
2008
IEEE
128views Virtual Reality» more  VR 2008»
14 years 3 months ago
GVT: a platform to create virtual environments for procedural training
The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done with...
Stéphanie Gerbaud, Nicolas Mollet, Franck G...
IJCNN
2008
IEEE
14 years 3 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...
ICMLA
2009
13 years 6 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
EDBT
2010
ACM
185views Database» more  EDBT 2010»
13 years 11 months ago
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space
The availability of indoor positioning renders it possible to deploy location-based services in indoor spaces. Many such services will benefit from the efficient support for k n...
Bin Yang 0002, Hua Lu, Christian S. Jensen