AIIM Journal 2023 Journal Article
Open-set recognition of breast cancer treatments
- Alexander Cao
- Diego Klabjan
- Yuan Luo
Author name cluster
Alexander Cao
Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.
2 papers
1 author row
Possible papers
2AAAI Conference 2021 Conference Paper
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
- Alexander Cao
- Yuan Luo
- Diego Klabjan
In inference, open-set classification is to either classify a sample into a known class from training or reject it as an unknown class. Existing deep open-set classifiers train explicit closed-set classifiers, in some cases disjointly utilizing reconstruction, which we find dilutes the latent representation’s ability to distinguish unknown classes. In contrast, we train our model to cooperatively learn reconstruction and perform class-based clustering in the latent space. With this, our Gaussian mixture variational autoencoder (GMVAE) achieves more accurate and robust open-set classification results, with an average F1 increase of 0. 26, through extensive experiments aided by analytical results.