Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yuya Moroto"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 177-185 (2024)
There are various sentiment theories for categorizing human sentiments into several discrete sentiment categories, which means that the theory used for training sentiment prediction methods does not always match that used in the test phase. As a solu
Externí odkaz:
https://doaj.org/article/a1078785b1784e41a4a4814c5a216e18
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4847 (2024)
Sports data analysis has significantly advanced and become an indispensable technology for planning strategy and enhancing competitiveness. In soccer, shot prediction has been realized on the basis of historical match situations, and its results cont
Externí odkaz:
https://doaj.org/article/e2cc831317b84f7ea8e132307ce2ab7b
Publikováno v:
Sensors, Vol 24, Iss 11, p 3440 (2024)
This paper proposes a multimodal Transformer model that uses time-series data to detect and predict winter road surface conditions. For detecting or predicting road surface conditions, the previous approach focuses on the cooperative use of multiple
Externí odkaz:
https://doaj.org/article/2503dc886dbf41cf8b49ce3d9ab905f9
Publikováno v:
Sensors, Vol 23, Iss 9, p 4506 (2023)
In soccer, quantitatively evaluating the performance of players and teams is essential to improve tactical coaching and players’ decision-making abilities. To achieve this, some methods use predicted probabilities of shoot event occurrences to quan
Externí odkaz:
https://doaj.org/article/a43994f29f4d4a2a98704b7c5f8f4f1d
Publikováno v:
IEEE Access, Vol 8, Pp 203358-203368 (2020)
A human-centric emotion estimation method based on correlation maximization with consideration of changes with time in visual attention and brain activity when viewing images is proposed in this paper. Owing to the recent developments of many kinds o
Externí odkaz:
https://doaj.org/article/01789b71c48d418c93bebd7eea8b5131
Publikováno v:
Sensors, Vol 20, Iss 7, p 2146 (2020)
The paper proposes a method of visual attention-based emotion classification through eye gaze analysis. Concretely, tensor-based emotional category classification via visual attention-based heterogeneous convolutional neural network (CNN) feature fus
Externí odkaz:
https://doaj.org/article/ffdbbfbcd8514b6dac8315760882b5d9
Publikováno v:
Sensors, Vol 20, Iss 8, p 2170 (2020)
A few-shot personalized saliency prediction based on adaptive image selection considering object and visual attention is presented in this paper. Since general methods predicting personalized saliency maps (PSMs) need a large number of training image
Externí odkaz:
https://doaj.org/article/788122f74ea24a92950ff7835a2c66f0
Publikováno v:
Proceedings of the 4th ACM International Conference on Multimedia in Asia.
Publikováno v:
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).