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» Invariances in kernel methods: From samples to objects
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NECO
2011
14 years 10 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
111
Voted
ICCV
2011
IEEE
14 years 3 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
145
Voted
CIARP
2009
Springer
15 years 10 months ago
3D and Appearance Modeling from Images
This paper gives an overview of works done in our group on 3D and appearance modeling of objects, from images. The backbone of our approach is to use what we consider as the princi...
Peter F. Sturm, Amaël Delaunoy, Pau Gargallo,...
152
Voted
SIGGRAPH
1995
ACM
15 years 7 months ago
Automatic reconstruction of surfaces and scalar fields from 3D scans
We present an efficient and uniform approach for the automatic reconstruction of surfaces of CAD (computer aided design) models and scalar fields defined on them, from an unorg...
Chandrajit L. Bajaj, Fausto Bernardini, Guoliang X...
129
Voted
VISUALIZATION
1998
IEEE
15 years 7 months ago
Eliminating popping artifacts in sheet buffer-based splatting
Splatting is a fast volume rendering algorithm which achieves its speed by projecting voxels in the form of pre-integrated interpolation kernels, or splats. Presently, two main va...
Klaus Mueller, Roger Crawfis