HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model

Frontiers Robotics2019 "HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model" ガウス過程とディリクレ過程で低次元データのセグメント + VAEで高次元を低次元に = 教師なしセグメントモデル https://t.co/4BRltKL4Ul https://t.co/oyb7RaT0c

New Research: HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model: Humans perceive continuous high-dimensional information by dividing it into meaningful segments,… https://t.co/CU

@ksknw 最近はVAEとの組み合わせも出てるので、こちらも興味あれば https://t.co/z09JYsVbzj

#NewPaper: https://t.co/6HOPwIwcw6 https://t.co/0tpVYxCl56 HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model