1403 search results - page 51 / 281 » Sampling Techniques for Kernel Methods |
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we propose two-channel filter-bank designs for signals defined on arbitrary graphs. These filter-banks are local, invertible and critically sampled. Depending on th...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...