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» Exploiting multiple classifier types with active learning
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112
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ICALP
2003
Springer
15 years 7 months ago
Resource Access and Mobility Control with Dynamic Privileges Acquisition
µKlaim is a process language that permits programming distributed systems made up of several mobile components interacting through multiple distributed tuple spaces. We present th...
Daniele Gorla, Rosario Pugliese
143
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FDL
2007
IEEE
15 years 6 months ago
Transaction Level Modelling: A reflection on what TLM is and how TLMs may be classified
Transaction-level modelling (TLM) is a poorlyterm, promising a level of abstraction like RTL (register transfer level), where the key feature is a `transaction'. But unlike r...
Mark Burton, James Aldis, Robert Günzel, Wolf...
CVPR
2008
IEEE
15 years 4 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
112
Voted
ICPR
2006
IEEE
16 years 3 months ago
Activity Discovery from Surveillance Videos
Multi-agent interactions often result in mutual occlusion sequences which constitute a visual signature for the event. We define six qualitative occlusion primitives based on the ...
Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra,...
EMNLP
2008
15 years 3 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner