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» On sparse signal representations
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ICPR
2004
IEEE
16 years 7 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICANN
2009
Springer
16 years 21 days ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
HAPTICS
2003
IEEE
15 years 11 months ago
How Well Can We Encode Spatial Layout from Sparse Kinesthetic Contact?
We investigated people’s ability to report the shape and scale of a spatial layout after sparse contact, without vision. We propose that the initial representation of sparsely c...
Roberta L. Klatzky, Susan J. Lederman
NAA
2000
Springer
97views Mathematics» more  NAA 2000»
15 years 9 months ago
Nested-Dissection Orderings for Sparse LU with Partial Pivoting
We describe the implementation and performance of a novel fill-minimization ordering technique for sparse LU factorization with partial pivoting. The technique was proposed by Gilb...
Igor Brainman, Sivan Toledo
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 10 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...