90 search results - page 1 / 18 » Learning representations for object classification using mul... |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
NN
2008
Springer
13 years 4 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
ICASSP
2008
IEEE
13 years 11 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...