... and efficient solution. Unlike neural network-based methods, GUSID completely avoids deep learning. Instead, GUSID uses unsupervised representation learning for effective feature extraction and supervised feature learning to enhance computational efficiency and ensure high-quality performance. GUSID’s...

... to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence . Music similarity music information retrieval music recommendation representation learning Today’s music market is proliferating, with digital products and online...

...Fenxiao Chen; Yun-Cheng Wang; Bin Wang; C.-C. Jay Kuo Research on graph representation learning has received great attention in recent years since most data in real-world applications come in the form of graphs. High-dimensional graph data are often in irregular forms. They are more difficult...