1956 search results - page 72 / 392 » Learning the Relative Importance of Features in Image Data |
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
TSD
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
AAAI
2011
12 years 8 months ago
2011
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
MDAI
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...