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» Simulation Optimization: Methods and Applications
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ECCV
2010
Springer
15 years 1 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
JGO
2011
122views more  JGO 2011»
14 years 8 months ago
Towards the global solution of the maximal correlation problem
The maximal correlation problem (MCP) aiming at optimizing correlation between sets of variables plays a very important role in many areas of statistical applications. Currently, a...
Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
14 years 4 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
INFOCOM
2006
IEEE
15 years 7 months ago
MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks
— Multi-frequency media access control has been well understood in general wireless ad hoc networks, while in wireless sensor networks, researchers still focus on single frequenc...
Gang Zhou, Chengdu Huang, Ting Yan, Tian He, John ...
CCS
2005
ACM
15 years 7 months ago
CPOL: high-performance policy evaluation
Policy enforcement is an integral part of many applications. Policies are often used to control access to sensitive information. Current policy specification languages give users ...
Kevin Borders, Xin Zhao, Atul Prakash