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» Using a probabilistic source model for comparing images
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WWW
2009
ACM
14 years 9 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
SIGGRAPH
2000
ACM
14 years 26 days ago
The WarpEngine: an architecture for the post-polygonal age
We present the WarpEngine, an architecture designed for realtime image-based rendering of natural scenes from arbitrary viewpoints. The modeling primitives are real-world images w...
Voicu Popescu, John G. Eyles, Anselmo Lastra, Josh...
MICCAI
2009
Springer
14 years 9 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
CVPR
2008
IEEE
14 years 10 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
CIKM
2008
Springer
13 years 10 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen