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INFOCOM
2010
IEEE
15 years 5 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
15 years 6 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 8 months 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 8 months 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
16 years 1 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...