IEEE

Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering

Abstract: Multi-view clustering (MVC) has gained attention for its ability to efficiently handle complex high-dimensional data. Many existing MVC methods rely on a technique known as Nonnegative ...
GitHub

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization

As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...
IEEE

DHANet: An Encoder–Decoder Network With Multiscale Features Fusing for Optic Disk Segmentation

Abstract: Automatic and accurate segmentation of the optic disk (OD) region has practical applications in the medical field. In this study, a novel encoder-decoder network is proposed to segment the ...
AV Network

Alfatron Electronic's 'Ideal Solution' for Distributing AV Signals over an IP Network

Looking for a 'ideal solution' for video walls or TV distribution in sports bars? Alfatron Electronics is now offering the ...
marktechpost

This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...