167 search results - page 16 / 34 » Supervised Feature Extraction Using Hilbert-Schmidt Norms |
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ICIP
2004
IEEE
16 years 1 months ago
2004
IEEE
An object seen from different viewpoints results in differently deformed images. Affine-invariant shape classification must classify correctly the object, disregarding its viewpoi...
IJCAI
2007
15 years 1 months ago
2007
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
MICCAI
2008
Springer
16 years 26 days ago
2008
Springer
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
IJON
2008
14 years 11 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...