37 search results - page 3 / 8 » Distance Metric Learning for Conditional Anomaly Detection |
TMA
2010
Springer
14 years 29 days ago
2010
Springer
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
FLAIRS
2010
13 years 8 months ago
2010
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...
SMC
2007
IEEE
14 years 12 days ago
2007
IEEE
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
13 years 7 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
ACCV
2010
Springer
13 years 1 months ago
2010
Springer
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...