61 search results - page 2 / 13 » High-dimensional labeled data analysis with Gabriel graphs |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
CIKM
2005
Springer
15 years 3 months ago
2005
Springer
Testing reachability between nodes in a graph is a well-known problem with many important applications, including knowledge representation, program analysis, and more recently, bi...
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IPMI
2005
Springer
15 years 10 months ago
2005
Springer
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
IPMI
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...