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» Using Anonymized Data for Classification
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154
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SOFTWARE
2002
15 years 3 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
120
Voted
MM
2005
ACM
145views Multimedia» more  MM 2005»
15 years 9 months ago
Multiple instance learning for labeling faces in broadcasting news video
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
125
Voted
SAC
2010
ACM
15 years 9 months ago
User-controlled generalization boundaries for p-sensitive k-anonymity
Numerous privacy models based on the k-anonymity property have been introduced in the last few years. While differing in their methods and quality of their results, they all focus...
Alina Campan, Traian Marius Truta, Nicholas Cooper
174
Voted
IHI
2010
124views Healthcare» more  IHI 2010»
14 years 10 months ago
Reliable medical recommendation systems with patient privacy
One of the concerns patients have when confronted with a medical condition is which physician to trust. Any recommendation system that seeks to answer this question must ensure an...
T. Ryan Hoens, Marina Blanton, Nitesh V. Chawla
148
Voted
PRL
2006
130views more  PRL 2006»
15 years 3 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho