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179
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TIP
2008
15 years 5 months ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
182
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ACL
2009
15 years 4 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
203
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CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
219
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CCIA
2010
Springer
15 years 1 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
178
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IESS
2007
Springer
16 years 17 days ago
2007
Springer
The stringent performance constraints and short time to market of modern digital systems require automatic methods for design of high performance applicationspeciļ¬c architectures...