203 search results - page 4 / 41 » Learning Better Image Representations Using 'Flobject Analys... |
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
ICPR
2002
IEEE
14 years 7 months ago
2002
IEEE
In this paper, a new graph data structure for 2-D shape representation is proposed. The new structure is called a concavity graph, and is an evolution from the already known "...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
CIVR
2007
Springer
14 years 13 days ago
2007
Springer
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
PSIVT
2009
Springer
14 years 24 days ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...