A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
A Okuno, T Hada, H Shimodaira - … Conference on Machine …, 2018 - proceedings.mlr.press
A simple framework Probabilistic Multi-view Graph Embedding (PMvGE) is proposed for
multi-view feature learning with many-to-many associations so that it generalizes various …
multi-view feature learning with many-to-many associations so that it generalizes various …
Numerical study of reciprocal recommendation with domain matching
K Sudo, N Osugi, T Kanamori - Japanese Journal of Statistics and Data …, 2019 - Springer
Reciprocal recommendation is the task of finding preferable matches among users in two
distinct groups. Popular examples of reciprocal recommendation include online job …
distinct groups. Popular examples of reciprocal recommendation include online job …
Retrieval across optical and sar images with deep neural network
In this paper, we are dedicated to the cross-modal image retrieval between optical images
and synthetic aperture radar (SAR) images. This cross-modal retrieval is a challenging task …
and synthetic aperture radar (SAR) images. This cross-modal retrieval is a challenging task …
[PDF][PDF] Studies on Neural Network-Based Graph Embedding and Its Extensions
A Okuno - 2020 - repository.kulib.kyoto-u.ac.jp
This thesis discusses a neural network (NN)-based graph embedding and its extensions.
The NN-based graph embedding computes feature vectors for nodes of a graph, by …
The NN-based graph embedding computes feature vectors for nodes of a graph, by …
Model Description of Similarity-Based Recommendation Systems
T Kanamori, N Osugi - Entropy, 2019 - mdpi.com
The quality of online services highly depends on the accuracy of the recommendations they
can provide to users. Researchers have proposed various similarity measures based on the …
can provide to users. Researchers have proposed various similarity measures based on the …