A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges
The emergence of smart sustainable cities has unveiled a wealth of data sources, each
contributing to a vast array of urban applications. At the heart of managing this plethora of …
contributing to a vast array of urban applications. At the heart of managing this plethora of …
An autoencoder-like deep NMF representation learning algorithm for clustering
Clustering plays a crucial role in the field of data mining, where deep non-negative matrix
factorization (NMF) has attracted significant attention due to its effective data representation …
factorization (NMF) has attracted significant attention due to its effective data representation …
Incomplete Multi-view Clustering with Paired and Balanced Dynamic Anchor Learning
X Li, Y Pan, Y Sun, Q Sun, Y Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Compared to static anchor selection, existing dynamic anchor learning could automatically
learn more flexible anchors to improve the performance of large-scale multi-view clustering …
learn more flexible anchors to improve the performance of large-scale multi-view clustering …
TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning
Y Bi, H Zhu, J Shi, B Song - The Journal of Supercomputing, 2025 - Springer
Cross-domain few-shot learning, which aims to solve the problem of domain gap in few-shot
learning, has recently received more and more attention. Specifically, when there are great …
learning, has recently received more and more attention. Specifically, when there are great …
Low Complexity CS/CB techniques for Aerial Assisted Cellular Network with Imperfect CSI
The inclusion of aerial base stations (ABSs) into cellular networks has many potential
benefits including low cost network connectivity for rural remote areas and quick deployment …
benefits including low cost network connectivity for rural remote areas and quick deployment …