534 search results - page 39 / 107 » Data Separation by Sparse Representations |
118
Voted
TIP
2010
14 years 7 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
ICCV
2001
IEEE
16 years 2 months ago
2001
IEEE
A framework for photo-realistic view-dependent image synthesis of a shiny object from a sparse set of images and a geometric model is proposed. Each image is aligned with the 3D m...
135
Voted
JMIV
2011
14 years 7 months ago
2011
In this paper, we first present a new implementation of the 3-D fast curvelet transform, which is nearly 2.5 less redundant than the Curvelab (wrapping-based) implementation as o...
100
Voted
ICIP
2009
IEEE
14 years 10 months ago
2009
IEEE
Wavelets provide a sparse representation for piecewise smooth signals in 1-D; however, separable extensions of wavelets to multiple dimensions do not achieve the same level of spa...
121
Voted
JMLR
2010
14 years 7 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...