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IGARSS
2010
13 years 5 months ago
Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts
In this paper, we develop a new spatial preprocessing strategy which can be applied prior to a spectral-based endmember extraction process for unmixing of hyperspectral data. Our ...
Gabriel Martin, Antonio J. Plaza
SIAMNUM
2011
154views more  SIAMNUM 2011»
13 years 2 months ago
Continuous Mesh Framework Part I: Well-Posed Continuous Interpolation Error
In the context of mesh adaptation, Riemannian metric spaces have been used to prescribe orientation, density and stretching of anisotropic meshes. But, such structures are only con...
Adrien Loseille, Frédéric Alauzet
FLAIRS
2008
13 years 10 months ago
Incorporating Latent Semantic Indexing into Spectral Graph Transducer for Text Classification
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
Xinyu Dai, Baoming Tian, Junsheng Zhou, Jiajun Che...
ICPR
2008
IEEE
14 years 2 months ago
Kernel functions for robust 3D surface registration with spectral embeddings
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...
WABI
2005
Springer
179views Bioinformatics» more  WABI 2005»
14 years 1 months ago
Spectral Clustering Gene Ontology Terms to Group Genes by Function
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
Nora Speer, Christian Spieth, Andreas Zell