2 citations · 3 across the 20 of their papers we have counts for
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Unsupervised Learning of Inter-Object Relationships via Group Homomorphism
Kyotaro Ushida, Takayuki Komatsu, Yoshiyuki Ohmura +1
While current deep learning models achieve high performance by learning statistical correlations from vast datasets,which stands in stark contrast to human learning. They lack the…
Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Representation learning seeks meaningful sensory representations without supervision and can model aspects of human development. Although many neural networks empirically learn use…
Unsupervised categorization of similarity measures
Yoshiyuki Ohmura, Wataru Shimaya, Yasuo Kuniyoshi
In general, objects can be distinguished on the basis of their features, such as color or shape. In particular, it is assumed that similarity judgments about such features can be p…