566 search results - page 3 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
ECML
2007
Springer
13 years 9 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
PRL
2007
13 years 5 months ago
2007
The bottleneck in interactive visual classification is the exchange of information between human and machine. We introduce the concept of the visible model, which is an ion of an ...
CVPR
2008
IEEE
13 years 7 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
ICEIS
2010
IEEE
13 years 3 months ago
2010
IEEE
Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridg...
ESANN
2004
13 years 7 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...