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DIS
2009
Springer
15 years 9 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
SSD
2009
Springer
180views Database» more  SSD 2009»
15 years 9 months ago
Indexing Moving Objects Using Short-Lived Throwaway Indexes
With the exponential growth of moving objects data to the Gigabyte range, it has become critical to develop effective techniques for indexing, updating, and querying these massive ...
Jens Dittrich, Lukas Blunschi, Marcos Antonio Vaz ...
129
Voted
ISSTA
2009
ACM
15 years 9 months ago
Advanced code coverage analysis using substring holes
Code coverage is a common aid in the testing process. It is generally used for marking the source code segments that were executed and, more importantly, those that were not execu...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...
MM
2009
ACM
277views Multimedia» more  MM 2009»
15 years 9 months ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
112
Voted
SIGCOMM
2009
ACM
15 years 9 months ago
PLUG: flexible lookup modules for rapid deployment of new protocols in high-speed routers
New protocols for the data link and network layer are being proposed to address limitations of current protocols in terms of scalability, security, and manageability. High-speed r...
Lorenzo De Carli, Yi Pan, Amit Kumar, Cristian Est...