Publication 2009 Issue No. 2 - February Abstract - Outlier Detection with the Kernelized Spatial Depth Function
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Outlier Detection with the Kernelized Spatial Depth Function
February 2009 (vol. 31 no. 2)
pp. 288-305
 ASCII Text x Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr., "Outlier Detection with the Kernelized Spatial Depth Function," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 288-305, February, 2009.
 BibTex x @article{ 10.1109/TPAMI.2008.72,author = {Yixin Chen and Xin Dang and Hanxiang Peng and Henry L. Bart Jr.},title = {Outlier Detection with the Kernelized Spatial Depth Function},journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},volume = {31},number = {2},issn = {0162-8828},year = {2009},pages = {288-305},doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.72},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Pattern Analysis and Machine IntelligenceTI - Outlier Detection with the Kernelized Spatial Depth FunctionIS - 2SN - 0162-8828SP288EP305EPD - 288-305A1 - Yixin Chen, A1 - Xin Dang, A1 - Hanxiang Peng, A1 - Henry L. Bart Jr., PY - 2009KW - Outlier detectionKW - novelty detectionKW - anomaly detectionKW - statistical depth functionKW - spatial depthKW - kernel methodKW - unsupervised learning.VL - 31JA - IEEE Transactions on Pattern Analysis and Machine IntelligenceER -
Yixin Chen, University of Mississippi, University
Xin Dang, University of Mississippi, University
Hanxiang Peng, Purdue School of Science, IUPUI, Indianapolis
Henry L. Bart Jr., Tulane University and Tulane University Museum of Natural History, New Orleans
Statistical depth functions provide from the ?deepest

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Index Terms:
Outlier detection, novelty detection, anomaly detection, statistical depth function, spatial depth, kernel method, unsupervised learning.
Citation:
Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr., "Outlier Detection with the Kernelized Spatial Depth Function," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 288-305, Feb. 2009, doi:10.1109/TPAMI.2008.72