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» Creating Generative Models from Range Images
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159
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NIPS
1997
15 years 7 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
150
Voted
NAACL
2007
15 years 7 months ago
Probabilistic Generation of Weather Forecast Texts
This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — i...
Anja Belz
ISBI
2002
IEEE
16 years 7 months ago
Statistical shape model for automatic skull-stripping of brain images
This paper presents a statistical shape model for automatic skull stripping of MR brain images. A surface model of the brain boundary is hierarchically represented by a set of ove...
Zhiqiang Lao, Dinggang Shen, Christos Davatzikos
154
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MEDIAFORENSICS
2010
15 years 7 months ago
Sensor noise camera identification: countering counter-forensics
In camera identification using sensor noise, the camera that took a given image can be determined with high certainty by establishing the presence of the camera's sensor fing...
Miroslav Goljan, Jessica J. Fridrich, Mo Chen
143
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IPMI
2005
Springer
15 years 12 months ago
Elastic Shape Models for Interpolations of Curves in Image Sequences
Many applications in image analysis are concerned with the temporal evolution of shapes in video sequences. In situations involving low-contrast, low-quality images, human aid is o...
Shantanu H. Joshi, Anuj Srivastava, Washington Mio