229 search results - page 2 / 46 » Image Classification Using Marginalized Kernels for Graphs |
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
TRECVID
2008
13 years 6 months ago
2008
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...