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ICIP
2000
IEEE
14 years 9 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
ITCC
2005
IEEE
14 years 28 days ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
TIP
2010
119views more  TIP 2010»
13 years 2 months ago
Fast Cartoon + Texture Image Filters
Abstract--Can images be decomposed into the sum of a geometric part and a textural part? In a theoretical breakthrough, [Y. Meyer, Oscillating Patterns in Image Processing and Nonl...
Antoni Buades, Triet M. Le, Jean-Michel Morel, Lum...
CVPR
2011
IEEE
13 years 3 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
ICCV
2009
IEEE
15 years 9 days ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah