9209 search results - page 101 / 1842 » Data Space Randomization |
129
Voted
SDM
2009
SIAM
15 years 12 months ago
2009
SIAM
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
120
click to vote
ICCVW
1999
Springer
15 years 7 months ago
1999
Springer
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
139
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
226
Voted
EMMCVPR
2011
Springer
14 years 2 months ago
2011
Springer
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
102
Voted
SDM
2007
SIAM
15 years 4 months ago
2007
SIAM
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...