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» Privacy and Data Mining: New Developments and Challenges
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 10 days ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
VISSYM
2004
15 years 1 months ago
Interactively Visualizing Procedurally Encoded Scalar Fields
Figure 1: RBF reconstruction of unstructured CFD data. (a) Volume rendering of 1,943,383 tetrahedral shock data set using 2,932 RBF functions. (b) Volume rendering of a 156,642 te...
Yun Jang, Manfred Weiler, Matthias Hopf, Jingshu H...
ANOR
2011
175views more  ANOR 2011»
14 years 6 months ago
Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
Fred Glover, Lawrence H. Cox, Rahul Patil, James P...
ICIP
2009
IEEE
16 years 26 days ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
IPMI
2003
Springer
16 years 19 days ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl