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134
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DMIN
2009
222views Data Mining» more  DMIN 2009»
15 years 1 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
132
Voted
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 1 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
115
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ISBI
2008
IEEE
16 years 4 months ago
Connectivity-based parcellation of the cortical surface using q-ball imaging
This work exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical surface using MR diffusion imaging. The par...
Cyril Poupon, Denis Rivière, Jean-Francois ...
MICAI
2005
Springer
15 years 9 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
172
Voted
VLDB
2000
ACM
166views Database» more  VLDB 2000»
15 years 7 months ago
What Is the Nearest Neighbor in High Dimensional Spaces?
Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...