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ECCV
2004
Springer
15 years 10 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
ISNN
2004
Springer
15 years 10 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
ECCV
2010
Springer
15 years 9 months ago
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
CIKM
2009
Springer
15 years 8 months ago
Multidimensional political spectrum identification and analysis
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
Leilei Zhu, Prasenjit Mitra
CIKM
2000
Springer
15 years 8 months ago
Visual Query and Analysis Tool of the Object-Relational GIS Framework
Geographic Information Systems (GISs) have become an essential tool for efficient handling of our natural and artificial environment. The most important activities in a GIS are qu...
Zoran Stojanovic, Slobodanka Djordjevic-Kajan, Dra...