2507 search results - page 87 / 502 » Learning Low-Level Vision |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
CVPR
2008
IEEE
14 years 3 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...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...