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» Surrogate data: A novel approach to object detection
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
PLDI
2006
ACM
16 years 9 days ago
Free-Me: a static analysis for automatic individual object reclamation
Garbage collection has proven benefits, including fewer memoryrelated errors and reduced programmer effort. Garbage collection, however, trades space for time. It reclaims memory...
Samuel Z. Guyer, Kathryn S. McKinley, Daniel Framp...
IADT
1998
148views more  IADT 1998»
15 years 7 months ago
A Tool for Content-Based Image Retrieval in Object-Oriented Databases
Conventional image processing algorithms used to compare images are very timeconsuming, making them inappropriate for use in searching for an image in a huge collection of images ...
Caetano Traina Jr., Agma J. M. Traina, Rildo R. do...
ICML
2006
IEEE
16 years 7 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
CAD
2005
Springer
15 years 6 months ago
Frontal geometry from sketches of engineering objects: is line labelling necessary?
A tool which can quickly interpret line drawings (with hidden lines removed) of engineering objects as boundary representation CAD models would be of significant benefit in the pr...
P. A. C. Varley, Ralph R. Martin, Hiromasa Suzuki