3 citations · 9 across the 9 of their papers we have counts for
10 papers
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
Chihiro Watanabe, Taiji Suzuki
Linear layouts are a graph visualization method that can be used to capture an entry pattern in an adjacency matrix of a given graph. By reordering the node indices of the original…
Deep Two-Way Matrix Reordering for Relational Data Analysis
Chihiro Watanabe, Taiji Suzuki
Matrix reordering is a task to permute the rows and columns of a given observed matrix such that the resulting reordered matrix shows meaningful or interpretable structural pattern…
A Goodness-of-fit Test on the Number of Biclusters in a Relational Data Matrix
Chihiro Watanabe, Taiji Suzuki
Biclustering is a method for detecting homogeneous submatrices in a given observed matrix, and it is an effective tool for relational data analysis. Although there are many studies…
X-DC: Explainable Deep Clustering based on Learnable Spectrogram Templates
Chihiro Watanabe, Hirokazu Kameoka
Deep neural networks (DNNs) have achieved substantial predictive performance in various speech processing tasks. Particularly, it has been shown that a monaural speech separation t…
Selective Inference for Latent Block Models
Chihiro Watanabe, Taiji Suzuki
Model selection in latent block models has been a challenging but important task in the field of statistics. Specifically, a major challenge is encountered when constructing a test…
Goodness-of-fit Test for Latent Block Models
Chihiro Watanabe, Taiji Suzuki
Latent block models are used for probabilistic biclustering, which is shown to be an effective method for analyzing various relational data sets. However, there has been no statist…