695 search results - page 119 / 139 » Convex Learning with Invariances |
CIARP
2007
Springer
14 years 1 months ago
2007
Springer
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
SLSFS
2005
Springer
14 years 1 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
VISUAL
1999
Springer
13 years 12 months ago
1999
Springer
Abstract. Trademark image retrieval is becoming an important application for logo registry, veri cation, and design. There are two major problems about the current approaches to tr...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...