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CVPR
2008
IEEE
16 years 8 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding
PKDD
2007
Springer
114views Data Mining» more  PKDD 2007»
16 years 23 days ago
Robust Visual Mining of Data with Error Information
Abstract. Recent results on robust density-based clustering have indicated that the uncertainty associated with the actual measurements can be exploited to locate objects that are ...
Jianyong Sun, Ata Kabán, Somak Raychaudhury
ICASSP
2010
IEEE
15 years 6 months ago
Tracking encrypted VoIP calls via robust hashing of network flows
In this work we propose a Voice over IP (VoIP) call tracking scheme based on robust hashing of VoIP flows. In the proposed scheme the audio content of a possibly encrypted VoIP ï...
Baris Coskun, Nasir D. Memon
MP
2006
101views more  MP 2006»
15 years 6 months ago
Robust optimization of contaminant sensor placement for community water systems
We present a series of related robust optimization models for placing sensors in municipal water networks to detect contaminants that are maliciously or accidentally injected. We f...
Robert D. Carr, Harvey J. Greenberg, William E. Ha...
TSMC
2008
99views more  TSMC 2008»
15 years 6 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu