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NIPS
2008
15 years 8 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
SMA
2005
ACM
120views Solid Modeling» more  SMA 2005»
16 years 9 days ago
Geometric texture synthesis and transfer via geometry images
Yu-Kun Lai, Shi-Min Hu, D. X. Gu, Ralph R. Martin
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
PAMI
2008
140views more  PAMI 2008»
15 years 6 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
IMAGING
2000
15 years 8 months ago
Color Management within a Spectral Image Visualization Tool
Recent developments in spectral imaging are pointing toward a future where the demands on color management will require a richer infrastructure than that which is currently offere...
Mitchell R. Rosen, Mark D. Fairchild, Garrett M. J...