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KRMED
2008
15 years 2 months ago
Essential SNOMED: Simplifying SNOMED-CT and supporting Integration with Health Information Models
SNOMED CT (SCT) has been designed and implemented in an era when health computer systems generally required terminology representations in the form of singular precoordinated conc...
Peter MacIsaac, Donald Walker, Rachel L. Richesson...
IJCV
2008
192views more  IJCV 2008»
15 years 24 days ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
IPM
2008
100views more  IPM 2008»
15 years 24 days ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
107
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ICRA
2010
IEEE
114views Robotics» more  ICRA 2010»
14 years 11 months ago
A general information quality based approach for satisfying sensor constraints in multirobot tasks
— Many architectures have been proposed to solve tightly-coupled multirobot tasks (MT) through coalitions of heterogeneous robots. However, several issues remain unaddressed. As ...
Yu Zhang, Lynne E. Parker
127
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ICIP
2010
IEEE
14 years 10 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...