7 search results - page 1 / 2 » Hierarchical Convolutional Sparse Image Decomposition |
CVPR
2010
IEEE
14 years 1 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 ...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
SCIA
2005
Springer
13 years 10 months ago
2005
Springer
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...