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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months 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
CVPR
2008
IEEE
14 years 11 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
VIS
2004
IEEE
187views Visualization» more  VIS 2004»
14 years 10 months ago
Methods for Efficient, High Quality Volume Resampling in the Frequency Domain
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Aili Li, Klaus Mueller, Thomas Ernst
EGITALY
2006
13 years 10 months ago
Easy Access to Huge 3D Models of Works of Art
Automatic shape acquisition technologies evolved rapidly in recent years, and huge mass of 3D data can be easily produced. The high accuracy of range scanning technology makes the...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...
EICS
2011
ACM
13 years 15 days ago
A model-based approach for distributed user interfaces
This paper describes a model-based approach for designing distributed user interfaces (DUIs), i.e. graphical user interfaces that are distributed along one or many of the followin...
Jérémie Melchior, Jean Vanderdonckt,...