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CVPR
2011
IEEE
15 years 2 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
PERCOM
2009
ACM
16 years 1 months ago
Tracking and Annotation in Skills-Based Learning Environments
This paper outlines a series of experiments looking at the annotation and subsequent analysis of skills-based learning and teaching in the domain of Nursing. The experiments used ...
Mark J. Weal, Danius T. Michaelides, Kevin R. Page...
ISVC
2007
Springer
16 years 26 days ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
PTS
2007
97views Hardware» more  PTS 2007»
15 years 8 months ago
Learning and Integration of Parameterized Components Through Testing
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
ICASSP
2011
IEEE
14 years 10 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley