Hybrid Gromov-Wasserstein Embedding for Capsule Learning

no code implementations • 1 Sep 2022 • Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador Garcia

Capsule networks (CapsNets) aim to parse images into a hierarchy of objects, parts, and their relations using a two-step process involving part-whole transformation and hierarchical component routing.

object-detection Object Detection

An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification

no code implementations • 1 Sep 2021 • Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia

To address this issue, we carry out a comprehensive empirical study on the joint influence of feature selection and re-sampling on two-class imbalance classification.

Classification Dimensionality Reduction +1