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» Using feature models to automate model transformations
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ICASSP
2011
IEEE
14 years 10 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
IJNSEC
2008
98views more  IJNSEC 2008»
15 years 6 months ago
A New General Transparency Model for Block-based Watermarking Method
Blocking artifact is one of the main drawbacks of the block-based watermarking method. Though a number of researches on "transparent" digital watermarking system have be...
Fangjun Huang
DLOG
2000
15 years 8 months ago
Optimizing TBox and ABox Reasoning with Pseudo Models
This paper investigates optimization techniques and data structures exploiting the use of so-called pseudo models. These techniques are applied to speed-up TBox and ABox reasoning...
Volker Haarslev, Ralf Möller
CVPR
2012
IEEE
13 years 9 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
ISSRE
2010
IEEE
15 years 5 months ago
Automating System Tests Using Declarative Virtual Machines
—Automated regression test suites are an essential software engineering practice: they provide developers with rapid feedback on the impact of changes to a system’s source code...
Sander van der Burg, Eelco Dolstra