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» Unsupervised Outlier Detection in Time Series Data
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ITCC
2005
IEEE
14 years 2 months ago
Application of Loop Reduction to Learning Program Behaviors for Anomaly Detection
Abstract: Evidence of some attacks can be manifested by abnormal sequences of system calls of programs. Most approaches that have been developed so far mainly concentrate on some p...
Jidong Long, Daniel G. Schwartz, Sara Stoecklin, M...
CVPR
2010
IEEE
14 years 4 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
MICCAI
2009
Springer
14 years 9 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
ICDCS
2010
IEEE
14 years 10 days ago
Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining
—Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurr...
Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchu...
IJON
2007
91views more  IJON 2007»
13 years 8 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers