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INFOCOM
2010
IEEE
14 years 9 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
COLING
2002
14 years 10 months ago
Unknown Word Extraction for Chinese Documents
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conve...
Keh-Jiann Chen, Wei-Yun Ma
CVPR
2007
IEEE
16 years 16 days ago
Patch-based Image Correlation with Rapid Filtering
This paper describes a patch-based approach for rapid image correlation or template matching. By representing a template image with an ensemble of patches, the method is robust wi...
Guodong Guo, Charles R. Dyer
CVPR
2007
IEEE
16 years 16 days ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
IPOM
2009
Springer
15 years 5 months ago
Traffic Classification Based on Flow Similarity
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy an...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...