Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Toshihiko Yamasa"'
Autor:
Michihiro Kuroki, Toshihiko Yamasaki
Publikováno v:
IEEE Access, Vol 12, Pp 57959-57973 (2024)
Explainable artificial intelligence (XAI) has witnessed significant advances in the field of object recognition, with saliency maps being used to highlight image features relevant to the predictions of learned models. Although these advances have mad
Externí odkaz:
https://doaj.org/article/fca3d7d94ca84c819d2f594a367f5b4c
Autor:
Ling Xiao, Toshihiko Yamasaki
Publikováno v:
IEEE Access, Vol 12, Pp 48068-48080 (2024)
Fine-grained fashion retrieval searches for items that share a similar attribute with the query image. Most existing methods use a pre-trained feature extractor (e.g., ResNet 50) to capture image representations. However, a pre-trained feature backbo
Externí odkaz:
https://doaj.org/article/6fa0426ef68143be9566fd09045a407b
Autor:
Michihiro Kuroki, Toshihiko Yamasaki
Publikováno v:
IEEE Access, Vol 12, Pp 31047-31054 (2024)
In explainable artificial intelligence (XAI) for object detection, saliency maps are employed to highlight important regions for a learned model’s prediction. However, a trade-off exists wherein the higher the accuracy of explanation results, the h
Externí odkaz:
https://doaj.org/article/17e74183eba64bc180c0815ad817b88e
Publikováno v:
IEEE Access, Vol 11, Pp 8860-8869 (2023)
Unlike traditional user-item recommendation tasks (e.g., movie or consumer-product recommendation), reciprocal recommender systems (RRSs) (e.g., online dating services and job-recruitment sites) must consider the interests of both two users. Pair mat
Externí odkaz:
https://doaj.org/article/1e3b5413abbf4f958b819d34f69a7570
Autor:
Taishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, Yoko Eguchi, Momoko Kitazawa, Kuo-ching Liang, Koki Kudo, Ayako Sento, Akihiro Takamiya, Toshiro Horigome, Toshihiko Yamasaki, Yuki Sunami, Toshiaki Kikuchi, Kazuki Nakajima, Masayuki Tomita, Shogyoku Bun, Yuki Momota, Kyosuke Sawada, Junichi Murakami, Hidehiko Takahashi, Masaru Mimura
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
IntroductionPsychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivi
Externí odkaz:
https://doaj.org/article/64fd8c0a0b464cc8b09b8b12113a4495
Autor:
Subhajit Chaudhury, Toshihiko Yamasaki
Publikováno v:
IEEE Access, Vol 9, Pp 37039-37053 (2021)
Adaptive gradient methods such as adaptive moment estimation (Adam), RMSProp, and adaptive gradient (AdaGrad) use the temporal history of the gradient updates to improve the speed of convergence and reduce reliance on manual learning rate tuning, mak
Externí odkaz:
https://doaj.org/article/37290cc83ee24da98cc355cddc54178f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 175-189 (2021)
Planetary surface images are collected by sophisticated imaging devices onboard the orbiting spacecraft. Although these images enable scientists to discover and visualize the unknown, they often suffer from the `no-data' region because the data could
Externí odkaz:
https://doaj.org/article/760e53a5d03d4fde8c271675eab2e939
Publikováno v:
IEEE Access, Vol 9, Pp 109241-109259 (2021)
In this paper, we show that adversarial training time attacks by a few pixel modifications can cause undesirable overfitting in neural networks for both discriminative and generative models. We propose an evolutionary algorithm to search for an optim
Externí odkaz:
https://doaj.org/article/b129691a6be54bd598b9f264bdaa02e3
Publikováno v:
IEEE Access, Vol 9, Pp 125955-125969 (2021)
We propose a multi-task learning framework for improving the performance of vision-based deep-learning approaches for driver distraction recognition. The most popular tool so far for solving this task is convolutional neural networks (CNNs) that have
Externí odkaz:
https://doaj.org/article/fed19818366f4f4e8ed447676960d553
Publikováno v:
Advances in Multimedia, Vol 2009 (2009)
A system for retrieving video sequences created by tracking humans in a smart environment, by using spatial queries, is presented. Sketches made with a pointing device on the floor layout of the environment are used to form queries corresponding to l
Externí odkaz:
https://doaj.org/article/f5f03e5999954bcfa065cdd59943abd4