On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms

Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis

ICASSP 2020accepted0 citations

On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms

Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis

Abstract

Online feature selection and classification is crucial for time sensitive decision making. Existing work however either assumes that features are independent or produces a fixed number of features for classification. Instead, we propose an optimal framework to perform joint feature selection and classification on-the-fly while relaxing the assumption on feature independence. The effectiveness of the proposed approach is showed by classifying urban issue reports on the SeeClickFix civic engagement platform. A significant reduction in the average number of features used is observed without a drop in the classification accuracy.

BibTeX

@inproceedings{icassp2020_ontheflyfeatures,
  title = {On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms},
  author = {Yasitha Warahena Liyanage and Daphney-Stavroula Zois and Charalampos Chelmis},
  booktitle = {ICASSP 2020},
  year = {2020}
}