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CVPR
2007
IEEE
15 years 7 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
14 years 11 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
MMAS
2010
Springer
14 years 8 months ago
A Novel Method for Solving Multiscale Elliptic Problems with Randomly Perturbed Data
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
Victor Ginting, Axel Målqvist, Michael Presh...
BMCBI
2010
113views more  BMCBI 2010»
15 years 1 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
CIKM
1999
Springer
15 years 5 months ago
Clustering Transactions Using Large Items
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
Ke Wang, Chu Xu, Bing Liu