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» Sparse representation of images with hybrid linear models
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CVPR
1999
IEEE
15 years 10 months ago
Algebraic Curves That Work Better
An algebraic curve is defined as the zero set of a polynomial in two variables. Algebraic curves are practical for modeling shapes much more complicated than conics or su...
David B. Cooper, Jean-Philippe Tarel, Tolga Tasdiz...
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
15 years 3 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
NIPS
1998
14 years 10 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Microlocal Analysis of the Geometric Separation Problem
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
David L. Donoho, Gitta Kutyniok
CVPR
2012
IEEE
12 years 12 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth