376 search results - page 65 / 76 » Clustering with Constrained Similarity Learning |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
CSB
2003
IEEE
14 years 27 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
CCE
2006
13 years 7 months ago
2006
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
ICB
2009
Springer
13 years 5 months ago
2009
Springer
Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or p...
RECOMB
2007
Springer
14 years 8 months ago
2007
Springer
Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding ...