Assessing Similarity Between Datasets Using Vector Representations
The article considers an approach to determining the similarity of datasets for training algorithms using datasets with human faces as an example. This approach allows finding similar datasets from different sources, expanding the detection of features and classes and significantly affecting dataset...
Saved in:
| Main Authors: | А. А. Usatoff, A. M. Nedzved, Guo Jiran |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Educational institution «Belarusian State University of Informatics and Radioelectronics»
2025-07-01
|
| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| Subjects: | |
| Online Access: | https://doklady.bsuir.by/jour/article/view/4164 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition
by: Tomoya Takatsu, et al.
Published: (2025-01-01) -
Predicting the Event Types in the Human Brain: A Modeling Study Based on Embedding Vectors and Large-Scale Situation Type Datasets in Mandarin Chinese
by: Xiaorui Ma, et al.
Published: (2025-05-01) -
Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches
by: Naveen Kumar Vaegae, et al.
Published: (2022-01-01) -
COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM
by: Denys Teslenko, et al.
Published: (2023-08-01) -
Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model
by: Abhilash Reddy Gunukula, et al.
Published: (2025-07-01)