OWAdapt: An adaptive loss function for deep learning using OWA operators
S Maldonado, C Vairetti, K Jara, M Carrasco… - Knowledge-Based …, 2023 - Elsevier
In this paper, we propose a novel adaptive loss function for enhancing deep learning
performance in classification tasks. Specifically, we redefine the cross-entropy loss to …
performance in classification tasks. Specifically, we redefine the cross-entropy loss to …
Generalized black hole clustering algorithm
Abstract The Black Hole Clustering (BHC) algorithm is a density-based partitional clustering
method inspired by the Density-based Spatial Clustering of Applications with Noise …
method inspired by the Density-based Spatial Clustering of Applications with Noise …
Zero-shot action recognition by clustered representation with redundancy-free features
L Xia, X Wen - Machine Vision and Applications, 2023 - Springer
Zero-shot action recognition (ZSAR) is a practical and challenging issue, which
compensates for the shortcomings of existing action recognition by being able to recognize …
compensates for the shortcomings of existing action recognition by being able to recognize …