Sciweavers

135 search results - page 8 / 27
» Smooth sensitivity and sampling in private data analysis
Sort
View
ICIP
2010
IEEE
13 years 5 months ago
Security analysis for privacy preserving search of multimedia
With the increasing popularity of digital multimedia such as images and videos and the advent of the cloud computing paradigm, a fast growing amount of private and sensitive multi...
Wenjun Lu, Avinash L. Varna, Min Wu
ICPR
2010
IEEE
13 years 9 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
JMLR
2010
162views more  JMLR 2010»
13 years 2 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
ICDT
2010
ACM
172views Database» more  ICDT 2010»
14 years 10 days ago
k-jump strategy for preserving privacy in micro-data disclosure
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wen Ming Liu, Lingyu Wang, Lei Zhang
AAAI
2006
13 years 9 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu