1956 search results - page 38 / 392 » Learning the Relative Importance of Features in Image Data |
MM
2010
ACM
13 years 8 months ago
2010
ACM
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
AAAI
2006
13 years 10 months ago
2006
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...