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FLAIRS
2003
15 years 5 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
BMCBI
2010
115views more  BMCBI 2010»
15 years 4 months ago
Non-coding RNA detection methods combined to improve usability, reproducibility and precision
Background: Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction...
Peter Raasch, Ulf Schmitz, Nadja Patenge, Julio Ve...
PRL
2007
101views more  PRL 2007»
15 years 3 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
CVPR
2005
IEEE
16 years 6 months ago
Learning Spatiotemporal T-Junctions for Occlusion Detection
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
Nicholas Apostoloff, Andrew W. Fitzgibbon
CVPR
2007
IEEE
16 years 6 months ago
Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
We combine detection and tracking techniques to achieve robust 3?D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on d...
Andrea Fossati, Miodrag Dimitrijevic, Vincent Lepe...