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» Sharing Features Between Objects and Their Attributes
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JIDM
2010
122views more  JIDM 2010»
13 years 6 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane
ICDCIT
2004
Springer
14 years 1 months ago
Automatic Enforcement of Access Control Policies Among Dynamic Coalitions
The need to securely share information on an ad-hoc basis between collaborating entities is increasingly becoming important. We propose a coalition based access control model (CBAC...
Vijayalakshmi Atluri, Janice Warner
CVPR
2007
IEEE
14 years 9 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
ICPR
2006
IEEE
14 years 8 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
APWEB
2006
Springer
13 years 11 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang