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» The Feature Selection and Intrusion Detection Problems
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CVPR
2004
IEEE
15 years 11 months ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
82
Voted
CVPR
2010
IEEE
15 years 6 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
ETS
2011
IEEE
230views Hardware» more  ETS 2011»
13 years 9 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 6 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
RAID
2004
Springer
15 years 3 months ago
On the Design and Use of Internet Sinks for Network Abuse Monitoring
Abstract. Monitoring unused or dark IP addresses offers opportunities to significantly improve and expand knowledge of abuse activity without many of the problems associated with ...
Vinod Yegneswaran, Paul Barford, David Plonka