70 search results - page 13 / 14 » Online and batch learning of pseudo-metrics |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
NN
1998
Springer
13 years 5 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...