2295 search results - page 158 / 459 » Learning Overcomplete Representations |
211
Voted
ICCV
2011
IEEE
14 years 24 days 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 ...
148
Voted
CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
117
Voted
RECOMB
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
116
Voted
CVPR
2008
IEEE
15 years 7 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
93
Voted
CIKM
2005
Springer
15 years 6 months ago
2005
Springer
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...