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» Application of Level Set Methods in Computer Vision
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AOSD
2003
ACM
16 years 10 hour ago
Quantifying aspects in middleware platforms
Middleware technologies such as Web Services, CORBA and DCOM have been very successful in solving distributed computing problems for a large family of application domains. As midd...
Charles Zhang, Hans-Arno Jacobsen
ESWA
2006
122views more  ESWA 2006»
15 years 6 months ago
Ontology construction for information classification
Following the advent of the Internet technology and the rapid growth of its applications, users have spent long periods of time browsing through the ocean of information found in ...
Sung-Shun Weng, Hsine-Jen Tsai, Shang-Chia Liu, Ch...
ECCV
2006
Springer
16 years 8 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
CVPR
2012
IEEE
13 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
TIP
2008
116views more  TIP 2008»
15 years 6 months ago
Self-Repelling Snakes for Topology-Preserving Segmentation Models
The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
Carole Le Guyader, Luminita A. Vese