5 citations · 7 across the 3 of their papers we have counts for
4 papers
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization
Morihiro Mizutani, Akifumi Okuno, Geewook Kim +1
Multimodal relational data analysis has become of increasing importance in recent years, for exploring across different domains of data, such as images and their text tags obtained…
Hyperlink Regression via Bregman Divergence
Akifumi Okuno, Hidetoshi Shimodaira
A collection of data vectors is called a -tuple, and the association strength among the vectors of a tuple is termed as the \emph{hyperlink weight}, that…
Robust Graph Embedding with Noisy Link Weights
Akifumi Okuno, Hidetoshi Shimodaira
We propose -graph embedding for robustly learning feature vectors from data vectors and noisy link weights. A newly introduced empirical moment -score reduces the influence o…
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
Geewook Kim, Akifumi Okuno, Kazuki Fukui +1
We propose (WIPS) for neural network-based graph embedding. In addition to the parameters of neural networks, we optimize the weights o…