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» An Adaptive Supersampling Method
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AAAI
2011
14 years 7 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
ACCV
2010
Springer
15 years 3 months ago
Stream-based Active Unusual Event Detection
We present a new active learning approach to incorporate human feedback for on-line unusual event detection. In contrast to most existing unsupervised methods that perform passiv...
Chen Change Loy, Tao Xiang, Shaogang Gong
TOG
2012
184views Communications» more  TOG 2012»
13 years 10 months ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang
CVPR
2012
IEEE
13 years 10 months ago
Capturing relightable images using computer monitors
Image based relighting techniques are a popular choice for generating photo-realistic images of objects under any lighting condition. A typical process for creating such a model i...
Prabath Gunawardane, Steven Scher, James Davis
CVPR
2008
IEEE
16 years 9 months ago
Accurate multi-view reconstruction using robust binocular stereo and surface meshing
This paper presents a new algorithm for multi-view reconstruction that demonstrates both accuracy and efficiency. Our method is based on robust binocular stereo matching, followed...
Derek Bradley, Tamy Boubekeur, Wolfgang Heidrich