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» On the Anonymization of Sparse High-Dimensional Data
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JMLR
2012
11 years 9 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
ICPR
2010
IEEE
13 years 11 months ago
On the Dimensionality Reduction for Sparse Representation Based Face Recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Lei Zhang, Meng Yang, Zhizhao Feng, David Zhang
ICIP
2010
IEEE
13 years 4 months ago
Metaface learning for sparse representation based face recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Meng Yang, Lei Zhang, Jian Yang, David Zhang
PVLDB
2008
116views more  PVLDB 2008»
13 years 6 months ago
Anonymizing bipartite graph data using safe groupings
Private data often comes in the form of associations between entities, such as customers and products bought from a pharmacy, which are naturally represented in the form of a larg...
Graham Cormode, Divesh Srivastava, Ting Yu, Qing Z...
CIKM
2009
Springer
14 years 1 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...