10 search results - page 1 / 2 » Deconvolutional networks |
CLUSTER
2006
IEEE
13 years 11 months ago
2006
IEEE
In this work we present a parallel algorithm for the solution of a least squares problem with structured matrices. This problem arises in many applications mainly related to digit...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
ESANN
2000
13 years 6 months ago
2000
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...