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SIAMIS
2010
378views more  SIAMIS 2010»
13 years 2 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ITPRO
2007
101views more  ITPRO 2007»
13 years 7 months ago
Beyond Search: Content Applications
Federation of Abstracting and Information Services presentation (“TheThomsonTransformation: Remaking a Global 500 Company,” http://www. nfais.org/TurnerNFAIS06.ppt). Now conten...
Stephen Buxton
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 21 days ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
13 years 11 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...