37 search results - page 1 / 8 » Distance Metric Learning for Conditional Anomaly Detection |
FLAIRS
2008
13 years 7 months ago
2008
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
IEEEVAST
2010
12 years 11 months ago
2010
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...