Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP210100640
Funding Status
Active
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Funded Activity Summary
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Funded Activity Details
Start Date: 2021
End Date: 12-2024
Funding Scheme: Discovery Projects
Funding Amount: $425,912.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural, Evolutionary and Fuzzy Computation | Computer Vision | Artificial Intelligence and Image Processing
