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JOSS
2000
106views more  JOSS 2000»
14 years 11 months ago
Structural Plots of Multivariate Binary Data
: Data structures comprising many binary variables can be represented graphically in various ways. Depending on the purpose different plots might be useful. Here two ways of showin...
Ove Frank
INLG
2010
Springer
14 years 9 months ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
ICIP
2009
IEEE
14 years 9 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
EDBT
2009
ACM
128views Database» more  EDBT 2009»
15 years 3 months ago
HIDE: heterogeneous information DE-identification
While there is an increasing need to share data that may contain personal information, such data sharing must preserve individual privacy without disclosing any identifiable infor...
James J. Gardner, Li Xiong, Kanwei Li, James J. Lu
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 1 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth