868 search results - page 32 / 174 » Learning Object Representations Using Sequential Patterns |
IJCAI
1997
13 years 9 months ago
1997
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
A commonly used representation of a visual pattern is the set of marginal probability distributions of the output of a bank of filters (Gaussian, Laplacian, Gabor etc...). This re...
GIS
2007
ACM
14 years 1 months ago
2007
ACM
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...