2 papers
cs.LG2026
Deep Distance Measurement Method for Unsupervised Multivariate Time Series Similarity Retrieval
Susumu Naito, Kouta Nakata, Yasunori Taguchi
We propose the Deep Distance Measurement Method (DDMM) to improve retrieval accuracy in unsupervised multivariate time series similarity retrieval. DDMM enables learning of minute…
cs.CV2024
Clustering-friendly Representation Learning for Enhancing Salient Features
Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata
Recently, representation learning with contrastive learning algorithms has been successfully applied to challenging unlabeled datasets. However, these methods are unable to disting…