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» Anomaly Detection Using an Ensemble of Feature Models
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CVPR
1998
IEEE
14 years 9 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
3DPVT
2006
IEEE
187views Visualization» more  3DPVT 2006»
13 years 11 months ago
Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields
We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3D triangle meshes derived from multiple range scans of an o...
David L. Page, Andreas Koschan, Mongi A. Abidi
NAACL
2004
13 years 9 months ago
A Statistical Model for Multilingual Entity Detection and Tracking
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 5 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal