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» Clustering the Feature Space
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ICPR
2008
IEEE
14 years 6 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
13 years 9 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
VISUALIZATION
2003
IEEE
13 years 10 months ago
Feature Space Analysis of Unstructured Meshes
Unstructured meshes are often used in simulations and imaging applications. They provide advanced flexibility in modeling abilities but are more difficult to manipulate and anal...
Ariel Shamir
CVPR
2006
IEEE
14 years 7 months ago
Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space
Our goal is to automatically determine the cast of a feature-length film. This is challenging because the cast size is not known, with appearance changes of faces caused by extrin...
Ognjen Arandjelovic, Roberto Cipolla
ICML
2008
IEEE
14 years 6 months ago
Multi-classification by categorical features via clustering
We derive a generalization bound for multiclassification schemes based on grid clustering in categorical parameter product spaces. Grid clustering partitions the parameter space i...
Yevgeny Seldin, Naftali Tishby