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ICML
2009
IEEE
16 years 4 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
WWW
2007
ACM
16 years 4 months ago
Image annotation by hierarchical mapping of features
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
Qiankun Zhao, Prasenjit Mitra, C. Lee Giles
ICIAP
2005
ACM
16 years 4 months ago
3D Functional Models of Monkey Brain Through Elastic Registration of Histological Sections
In this paper we describe a method for the reconstruction and visualization of functional models of monkey brains. Models are built through the registration of high resolution imag...
Fabio Bettio, Francesca Frexia, Andrea Giachetti, ...
ICSE
2003
IEEE-ACM
16 years 4 months ago
An Effective Layout Adaptation Technique for a Graphical Modeling Tool
Editing graphic models always entails layout problems. Inserting and deleting items requires tedious manual work for shifting existing items and rearranging the diagram layout. He...
Christian Seybold, Martin Glinz, Silvio Meier, Nan...
EUROGRAPHICS
2010
Eurographics
16 years 1 months ago
Uncertain 2D Vector Field Topology
We introduce an approach to visualize stationary 2D vector fields with global uncertainty obtained by considering the transport of local uncertainty in the flow. For this, we ex...
Mathias Otto, Tobias Germer, Hans-Christian Hege, ...