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ASUNAM
2010
IEEE
13 years 9 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 9 months ago
Preserving Privacy in Social Networks Against Neighborhood Attacks
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Bin Zhou 0002, Jian Pei
CVPR
2009
IEEE
15 years 2 months ago
Capturing 3D Stretchable Surfaces from Single Images in Closed Form
We present a closed-form solution to the problem of recovering the 3D shape of a non-rigid potentially stretchable surface from 3D-to-2D correspondences. In other words, we can ...
Francesc Moreno-Noguer (Institut de Robotica i Inf...
MOBIWAC
2009
ACM
14 years 7 days ago
Adaptive, direction-aware data dissemination for diverse sensor mobility
We consider sensor networks where the sensor nodes are attached on entities that move in a highly dynamic, heterogeneous manner. To capture this mobility diversity we introduce a ...
Azzedine Boukerche, Dionysios Efstathiou, Sotiris ...
IPL
2000
76views more  IPL 2000»
13 years 7 months ago
Deterministic small-world communication networks
Many real life networks, including the World Wide Web, electric power grids, and social networks, are small-world networks. The two distinguishing characteristics of small-world n...
Francesc Comellas, Javier Ozón, Joseph G. P...