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CVPR
2012
IEEE
13 years 4 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
ALT
2008
Springer
15 years 6 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
SSD
2001
Springer
145views Database» more  SSD 2001»
15 years 2 months ago
Continuous Queries within an Architecture for Querying XML-Represented Moving Objects
The development of spatiotemporal database systems is primarily motivated by applications tracking and presenting mobile objects. Another important trend is the visualization and p...
Thomas Brinkhoff, Jürgen Weitkämper
CGF
2010
169views more  CGF 2010»
14 years 9 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
SLSFS
2005
Springer
15 years 3 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...