11 search results - page 1 / 3 » Robust De-anonymization of Large Sparse Datasets |
SP
2008
IEEE
13 years 11 months ago
2008
IEEE
We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
CGF
2010
13 years 4 months ago
2010
We propose a modular framework for robust 3D reconstruction from unorganized, unoriented, noisy, and outlierridden geometric data. We gain robustness and scalability over previous...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
IPMI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
JMLR
2002
13 years 4 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...