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ICML
2007
IEEE
14 years 6 months ago
Multiple instance learning for sparse positive bags
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
Razvan C. Bunescu, Raymond J. Mooney
FAST
2011
12 years 8 months ago
FastScale: Accelerate RAID Scaling by Minimizing Data Migration
Previous approaches to RAID scaling either require a very large amount of data to be migrated, or cannot tolerate multiple disk additions without resulting in disk imbalance. In t...
Weimin Zheng, Guangyan Zhang
SIGCOMM
2006
ACM
13 years 11 months ago
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
There is a growing demand for network devices capable of examining the content of data packets in order to improve network security and provide application-specific services. Most...
Sailesh Kumar, Sarang Dharmapurikar, Fang Yu, Patr...
ICASSP
2009
IEEE
14 years 2 days ago
Sparse LMS for system identification
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Yilun Chen, Yuantao Gu, Alfred O. Hero III
CVPR
2011
IEEE
13 years 23 days ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler