232 search results - page 11 / 47 » Learning large margin classifiers locally and globally |
DIS
2006
Springer
13 years 11 months ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
EPIA
2009
Springer
14 years 2 months ago
2009
Springer
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
FGR
2006
IEEE
14 years 1 months ago
2006
IEEE
We examined the open issue of whether FACS action units (AUs) can be recognized more accurately by classifying local regions around the eyes, brows, and mouth compared to analyzin...
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
13 years 7 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...