376 search results - page 11 / 76 » Supervised dimensionality reduction using mixture models |
161
click to vote
PODS
2001
ACM
15 years 11 months ago
2001
ACM
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
SOCO
2008
Springer
14 years 11 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
107
click to vote
ICPR
2008
IEEE
16 years 27 days ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
TSP
2008
14 years 11 months ago
2008
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
111
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...