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» Unsupervised Learning of Visual Feature Hierarchies
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JOCN
2011
65views more  JOCN 2011»
14 years 4 months ago
Right Hemisphere Dominance in Visual Statistical Learning
■ Several studies report a right hemisphere advantage for visuospatial integration and a left hemisphere advantage for inferring conceptual knowledge from patterns of covariatio...
Matthew E. Roser, József Fiser, Richard N. ...
CVPR
2009
IEEE
16 years 4 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
CVPR
2010
IEEE
14 years 9 months ago
Deconvolutional networks
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...
Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylo...
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 3 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
ICASSP
2011
IEEE
14 years 1 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes