2 papers
cs.LG2024
Fuzzy K-Means Clustering without Cluster Centroids
Yichen Bao, Han Lu, Quanxue Gao
Fuzzy K-Means clustering is a critical technique in unsupervised data analysis. Unlike traditional hard clustering algorithms such as K-Means, it allows data points to belong to mu…
cs.CV2024
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning
Yu Lei, Guoshuai Sheng, Fangfang Li +3
Zero-shot learning(ZSL) aims to recognize new classes without prior exposure to their samples, relying on semantic knowledge from observed classes. However, current attention-based…