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» Privacy-Preserving k-NN for Small and Large Data Sets
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NIPS
2008
15 years 21 days ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
15 years 5 months ago
A Genetic Approach to Multivariate Microaggregation for Database Privacy
Microaggregation is a technique used to protect privacy in databases and location-based services. We propose a new hybrid technique for multivariate microaggregation. Our techniqu...
Antoni Martínez-Ballesté, Agusti Sol...
NAACL
2001
15 years 20 days ago
Applying Co-Training Methods to Statistical Parsing
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences) annotated with parse trees, a dictionary of possible le...
Anoop Sarkar
ISBI
2008
IEEE
15 years 12 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
IVA
2009
Springer
15 years 5 months ago
Augmenting Gesture Animation with Motion Capture Data to Provide Full-Body Engagement
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
Pengcheng Luo, Michael Kipp, Michael Neff