Home /Research /Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach
LEARNING

Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach

Vijay Bhaskar Semwal, Kaushik Mondal, G. C. Nandi

Year
2015
Citations
132

Keywords

Artificial intelligenceComputer scienceArtificial neural networkFeature selectionClassifier (UML)Pattern recognition (psychology)Dropout (neural networks)Deep learningRoboticsMachine learning

Related papers

Browse all LEARNING papers