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» Learning Visual Invariance
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PAMI
2002
114views more  PAMI 2002»
13 years 7 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam
SAC
2010
ACM
14 years 2 months ago
Enhancing document structure analysis using visual analytics
During the last decade national archives, libraries, museums and companies started to make their records, books and files electronically available. In order to allow efficient ac...
Andreas Stoffel, David Spretke, Henrik Kinnemann, ...
DILS
2009
Springer
13 years 12 months ago
A Visual Interface for on-the-fly Biological Database Integration and Workflow Design Using VizBuilder
Abstract. Data integration plays a major role in modern Life Sciences research primarily because required resources are geographically distributed across continents and experts dep...
Shahriyar Hossain, Hasan M. Jamil
NIPS
1996
13 years 9 months ago
A Model of Recurrent Interactions in Primary Visual Cortex
A general feature of the cerebral cortex is its massive interconnectivity-ithas been estimatedanatomically 15 that cortical neurons receive on the order of 10,000 synapses, the ma...
Emanuel Todorov, Athanassios Siapas, David Somers
CGF
2010
161views more  CGF 2010»
13 years 8 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser