Improving Classification Accuracy with Graph Filtering

Mounia Hamidouche, Carlos Lassance, Yuqing Hu +3

In machine learning, classifiers are typically susceptible to noise in the training data. In this work, we aim at reducing intra-class noise with the help of graph filtering to imp…