868 search results - page 19 / 174 » Learning Object Representations Using Sequential Patterns |
VISAPP
2007
13 years 8 months ago
2007
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
AAAI
2004
13 years 9 months ago
2004
Using language technology for text analysis and light-weight ontologies as a content-mediating level, we acquire indexing patterns from vast amounts of indexing data for Englishla...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...