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AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 12 months ago
Service-independent payload analysis to improve intrusion detection in network traffic
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) a...
Iñigo Perona, Ibai Gurrutxaga, Olatz Arbela...
DOCENG
2010
ACM
13 years 11 months ago
Picture detection in document page images
We present a method for picture detection in document page images, which can come from scanned or camera images, or rendered from electronic file formats. Our method uses OCR to s...
Patrick Chiu, Francine Chen, Laurent Denoue
ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 7 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
ECCV
2008
Springer
14 years 11 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ICPR
2008
IEEE
14 years 11 months ago
Ballot mark detection
Optical mark sensing, i.e., detecting whether a "bubble" has been filled in, may seem straightforward. However, on US election ballots the shape, intensity, size and pos...
Daniel P. Lopresti, Elisa H. Barney Smith, George ...