1344 search results - page 174 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ECCV
2010
Springer
13 years 10 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 ...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
CNSM
2010
13 years 7 months ago
2010
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
SAC
2006
ACM
14 years 3 months ago
2006
ACM
Phylogenetic profiles of proteins − strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes − have recently been used to iden...
MIR
2005
ACM
14 years 3 months ago
2005
ACM
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...