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» Outlier Detection Using Random Walks
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 6 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 8 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ICASSP
2011
IEEE
12 years 9 months ago
Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
Miao Yu, Syed Mohsen Naqvi, Adel Rhuma, Jonathon A...
AINA
2008
IEEE
13 years 7 months ago
Monitoring Network Traffic to Detect Stepping-Stone Intrusion
Most network intruders tend to use stepping-stones to attack or to invade other hosts to reduce the risks of being discovered. There have been many approaches that were proposed t...
Jianhua Yang, Byong Lee, Stephen S. H. Huang
ICCV
2009
IEEE
14 years 10 months ago
Correlated Probabilistic Trajectories for Pedestrian Motion Detection
This paper introduces an algorithm for detecting walking motion using point trajectories in video sequences. Given a number of point trajectories, we identify those which are sp...
Frank Perbet, Atsuto Maki, Bjorn Stenger