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» Anomaly detection by finding feature distribution outliers
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ECCV
2008
Springer
14 years 9 months ago
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
Abstract. We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between...
Robert T. Collins, Weina Ge
EDBT
2004
ACM
94views Database» more  EDBT 2004»
14 years 7 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang
ICML
2010
IEEE
13 years 8 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
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 ...
Zeeshan Syed, Ilan Rubinfeld
ICCVG
2010
13 years 5 months ago
A New Method for ECG Signal Feature Extraction
Abstract. The paper concentrates on electrocardiographic (ECG) signal analysis for the sake of acquiring proper heartbeat datasets for further detection and recognition of anomalie...
Adam Szczepanski, Khalid Saeed, Alois Ferscha
CVPR
2012
IEEE
11 years 10 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...