Knowledge Graph Embedding-Based Domain Adaptation for Musical Instrument Recognition
Convolutional neural networks raised the bar for machine learning and artificial intelligence applications, mainly due to the abundance of data and computations. However, there is not always enough data for training, especially when it comes to historical collections of cultural heritage where the o...
Main Authors: | Victoria Eyharabide, Imad Eddine Ibrahim Bekkouch, Nicolae Dragoș Constantin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/10/8/94 |
Similar Items
-
Advances in Knowledge Graph Embedding Based on Graph Neural Networks
by: YAN Zhaoyao, DING Cangfeng, MA Lerong, CAO Lu, YOU Hao
Published: (2023-08-01) -
Embedding Uncertain Temporal Knowledge Graphs
by: Tongxin Li, et al.
Published: (2023-02-01) -
CIST: Differentiating Concepts and Instances Based on Spatial Transformation for Knowledge Graph Embedding
by: Pengfei Zhang, et al.
Published: (2022-09-01) -
Probabilistic Coarsening for Knowledge Graph Embeddings
by: Marcin Pietrasik, et al.
Published: (2023-03-01) -
IntME: Combined Improving Feature Interactions and Matrix Multiplication for Convolution-Based Knowledge Graph Embedding
by: Haonan Zhang, et al.
Published: (2023-08-01)