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CVPR
2008
IEEE
15 years 4 months ago
Visual quasi-periodicity
Periodicity is at the core of the recognition of many actions. This paper takes the following steps to detect and measure periodicity. 1) We establish a conceptual framework of cl...
Erik Pogalin, Arnold W. M. Smeulders, Andrew H. C....
106
Voted
CVPR
2005
IEEE
15 years 11 months ago
Semi-Supervised Learning Based Object Detection in Aerial Imagery
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
Jian Yao, Zhongfei (Mark) Zhang
87
Voted
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 1 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
DATAMINE
2006
164views more  DATAMINE 2006»
14 years 9 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
ICRA
2006
IEEE
136views Robotics» more  ICRA 2006»
15 years 3 months ago
Fault Detection for Mobile Robots using Redundant Positioning Systems
— Reliable navigation is a very important part of an autonomous mobile robot system. This means for instance that the robot should not lose track of its position, even if unexpec...
Paul Sundvall, Patric Jensfelt