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ICITA
2005
IEEE
14 years 3 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
IEEEINTERACT
2003
IEEE
14 years 3 months ago
Compiler-Directed Resource Management for Active Code Regions
Recent studies on program execution behavior reveal that a large amount of execution time is spent in small frequently executed regions of code. Whereas adaptive cache management ...
Ravikrishnan Sree, Alex Settle, Ian Bratt, Daniel ...
SCALESPACE
1999
Springer
14 years 2 months ago
Fast Geodesic Active Contours
—We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in imag...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
14 years 1 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
CRYPTO
2010
Springer
167views Cryptology» more  CRYPTO 2010»
13 years 11 months ago
Multiparty Computation for Dishonest Majority: From Passive to Active Security at Low Cost
Multiparty computation protocols have been known for more than twenty years now, but due to their lack of efficiency their use is still limited in real-world applications: the goal...
Ivan Damgård, Claudio Orlandi