3 papers
physics.data-an2023
Dynamics-Based Intrinsic Signal Model for High-Dimensional, Small-Sample Data
Yoh-ichi Mototake, Y-h. Taguchi
Signal extraction is difficult when the number of variables is much larger than the number of observations . We address this problem under the working hypothesis that an emp…
q-bio.NC2004
Can Neural Networks Recognize Parts?
Koji Matsumura, Y-h. Taguchi
We have demonstrated neural networks can recognize parts by visual images. Input signals are gray scale photographs of objects consisting of some parts and output signals are their…
nlin.PS2003
Temporal patterns of gene expression via nonmetric multidimensional scaling analysis
Y-h. Taguchi, Y. Oono
Motivation: Microarray experiments result in large scale data sets that require extensive mining and refining to extract useful information. We have been developing an efficient no…