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IGARSS
2010
15 years 4 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
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
16 years 7 months ago
Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...
Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang 0010
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
16 years 16 days ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
JMLR
2010
154views more  JMLR 2010»
15 years 1 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 10 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter