2 papers
cs.LG2025
Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
Issei Saito, Masatoshi Nagano, Tomoaki Nakamura +2
In this paper, we propose RFF-GP-HSMM, a fast unsupervised time-series segmentation method that incorporates random Fourier features (RFF) to address the high computational cost of…
cs.LG2024
Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta +3
Evolving consumer demands and market trends have led to businesses increasingly embracing a production approach that prioritizes flexibility and customization. Consequently, factor…