T Kushima, S Takahashi, T Ogawa… - IEEE Access, 2019 - ieeexplore.ieee.org
A novel method for interest level estimation based on tensor completion via feature integration for partially paired users' behavior and videos is presented in this paper. The …
K Kamikawa, K Maeda, T Ogawa… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
This paper presents a method of feature integration via semi-supervised ordinally multi- modal Gaussian process latent variable model (Semi-OMGP). The proposed method …
K Kamikawa, K Maeda, T Ogawa… - … Conference on Image …, 2023 - ieeexplore.ieee.org
In this paper, we present a method of feature integration via back-projection ordering multi- modal Gaussian process latent variable model (BPomGP) for rating prediction. In the …
Unmanned Aerial Vehicle (UAV) imagery is gaining a lot of momentum lately. Indeed, gathered information from a bird-point-of-view is particularly relevant for numerous …
The article examines the role of technology in social campaigns and cognitive overload in advertising. It critiques traditional cognitive load measurement methods and suggests using …
This study presents a novel feature integration method for interest level estimation using a semi-supervised multimodal Gaussian process latent variable model with pseudo-labels …
K Kamikawa, K Maeda, T Ogawa… - … Conference on Image …, 2021 - ieeexplore.ieee.org
This paper presents a method of interest level estimation via multimodal Gaussian process latent variable factorization (mGPLVF). The proposed method estimates user interest levels …
K Kamikawa, K Maeda, T Ogawa… - … Conference on Circuits …, 2022 - ieeexplore.ieee.org
This paper presents interest level estimation using behavior information through multi-view feature integration considering partial and ordered labels. User behavior information is …