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» Clustering the Feature Space
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NPAR
2004
ACM
16 years 21 days ago
Hardware-determined feature edges
Algorithms that detect silhouettes, creases, and other edge based features often perform per-edge and per-face mesh computations using global adjacency information. These are unsu...
Morgan McGuire, John F. Hughes
PVLDB
2010
89views more  PVLDB 2010»
15 years 5 months ago
Transforming Range Queries To Equivalent Box Queries To Optimize Page Access
Range queries based on L1 distance are a common type of queries in multimedia databases containing feature vectors. We propose a novel approach that transforms the feature space i...
Sakti Pramanik, Alok Watve, Chad R. Meiners, Alex ...
AVBPA
2005
Springer
308views Biometrics» more  AVBPA 2005»
16 years 25 days ago
Biometric Recognition Using Feature Selection and Combination
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
Ajay Kumar, David Zhang
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 1 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...
EPIA
2005
Springer
16 years 24 days ago
An Extension of Self-organizing Maps to Categorical Data
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...
Ning Chen, Nuno C. Marques