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ICASSP
2011
IEEE
14 years 10 months ago
Approximation of pattern transformation manifolds with parametric dictionaries
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
Elif Vural, Pascal Frossard
CVPR
2012
IEEE
13 years 9 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
186
Voted
ECCV
2002
Springer
16 years 8 months ago
Finding the Largest Unambiguous Component of Stereo Matching
Abstract. Stereo matching is an ill-posed problem for at least two principal reasons: (1) because of the random nature of match similarity measure and (2) because of structural amb...
Radim Sára
VIS
2004
IEEE
178views Visualization» more  VIS 2004»
16 years 8 months ago
Depth Enhanced Panoramas
Depth enhanced panoramas are a practical solution to the difficult problem of inside-looking-out modeling. Depth enhanced panoramas extend color panoramas to support viewpoint tra...
Gleb Bahmutov, Voicu Popescu, Elisha Sacks
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 8 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...