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ICDE
2008
IEEE
158views Database» more  ICDE 2008»
14 years 11 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
CSDA
2010
194views more  CSDA 2010»
13 years 10 months ago
A clipped latent variable model for spatially correlated ordered categorical data
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
Megan Dailey Higgs, Jennifer A. Hoeting
CVPR
2008
IEEE
14 years 12 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
AIME
2007
Springer
14 years 4 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
14 years 4 months ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...