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cs.LG2015★ 5 cited
Feature Selection for classification of hyperspectral data by minimizing a tight bound on the VC dimension
Phool Preet, Sanjit Singh Batra, Jayadeva
Hyperspectral data consists of large number of features which require sophisticated analysis to be extracted. A popular approach to reduce computational cost, facilitate informatio…
cs.LG2015★ 3 cited
Learning a Fuzzy Hyperplane Fat Margin Classifier with Minimum VC dimension
Jayadeva, Sanjit Singh Batra, Siddarth Sabharwal
The Vapnik-Chervonenkis (VC) dimension measures the complexity of a learning machine, and a low VC dimension leads to good generalization. The recently proposed Minimal Complexity…