581 search results - page 21 / 117 » EM in High Dimensional Spaces |
CIKM
2000
Springer
15 years 2 months ago
2000
Springer
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
ICDM
2002
IEEE
15 years 3 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
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CVPR
2004
IEEE
16 years 17 days ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
IV
2007
IEEE
15 years 4 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
EUROGRAPHICS
2010
Eurographics
15 years 7 months ago
2010
Eurographics
Many useful algorithms for processing images and geometry fall under the general framework of high-dimensional Gaussian filtering. This family of algorithms includes bilateral ...