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CVPR
2012
IEEE
13 years 9 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
SIGMETRICS
2012
ACM
257views Hardware» more  SIGMETRICS 2012»
13 years 9 months ago
Fair sampling across network flow measurements
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
Nick G. Duffield
AAAI
2012
13 years 9 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
AUSFORENSICS
2004
15 years 8 months ago
Electronic Crime - its not only the big end of town that should be worried
The permeation of technology into our daily lives has resulted in new types of criminal activity and new ways of committing old crimes. As with traditional crime, fundamental to t...
Mathew Hannan, Barry Blundell
BMCBI
2007
107views more  BMCBI 2007»
15 years 6 months ago
Prediction of potential drug targets based on simple sequence properties
Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical dr...
Qingliang Li, Luhua Lai