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185
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ICCV
2011
IEEE
13 years 10 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
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 ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICIP
2002
IEEE
16 years 1 days ago
Contourlets: a directional multiresolution image representation
We propose a new scheme, named contourlet, that provides a flexible multiresolution, local and directional image expansion. The contourlet transform is realized efficiently via a ...
Minh N. Do, Martin Vetterli
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
15 years 4 months ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...
67
Voted
PG
2002
IEEE
15 years 3 months ago
The Light Field Oracle
We present the light field oracle, a novel mathematical concept for the acquisition, processing and representation of light fields. We first compute a hierarchical representati...
Reto Lütolf, Bernt Schiele, Markus H. Gross
77
Voted
TIP
2002
102views more  TIP 2002»
14 years 10 months ago
Multilayered image representation: application to image compression
Abstract--The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. A...
François G. Meyer, Amir Averbuch, Ronald R....