MLG
2007
Springer
13 years 11 months ago
2007
Springer
Recent investigations [12, 2, 8, 5, 6] and [11, 9] indicate the use of a probabilistic (’learning’) perspective of tasks defined on a single graph, as opposed to the traditio...
ISNN
2009
Springer
13 years 11 months ago
2009
Springer
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...