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» A Hierarchical Latent Variable Model for Data Visualization
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ISBI
2008
IEEE
16 years 2 months ago
Convex analysis and separation of composite signals in DCE-MRI
Dynamic functional imaging promises powerful tools for the visualization and elucidation of important diseasecausing biological processes, where the pixels often represent a compo...
Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yu...
NIPS
1996
15 years 3 months ago
Neural Models for Part-Whole Hierarchies
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
Maximilian Riesenhuber, Peter Dayan
115
Voted
BMVC
2010
14 years 12 months ago
Automatic annotation of unique locations from video and text
Given a video and associated text, we propose an automatic annotation scheme in which we employ a latent topic model to generate topic distributions from weighted text and then mo...
Chris Engels, Koen Deschacht, Jan Hendrik Becker, ...
113
Voted
TVCG
2010
153views more  TVCG 2010»
15 years 6 days ago
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning...
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahm...
NIPS
2004
15 years 3 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli