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cs.LG2021
Learning Sign-Constrained Support Vector Machines
Kenya Tajima, Takahiko Henmi, Kohei Tsuchida +2
Domain knowledge is useful to improve the generalization performance of learning machines. Sign constraints are a handy representation to combine domain knowledge with learning mac…
cs.LG2020
Adaptive Signal Variances: CNN Initialization Through Modern Architectures
Takahiko Henmi, Esmeraldo Ronnie Rey Zara, Yoshihiro Hirohashi +1
Deep convolutional neural networks (CNN) have achieved the unwavering confidence in its performance on image processing tasks. The CNN architecture constitutes a variety of differe…
cs.LG2020
Frank-Wolfe algorithm for learning SVM-type multi-category classifiers
Kenya Tajima, Yoshihiro Hirohashi, Esmeraldo Ronnie Rey Zara +1
Multi-category support vector machine (MC-SVM) is one of the most popular machine learning algorithms. There are lots of variants of MC-SVM, although different optimization algorit…