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A spatio-temporal extension to Isomap nonlinear dimension reduction

Odest Chadwicke Jenkins, Maja J. Matarić
2004 Twenty-first international conference on Machine learning - ICML '04  

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We present an extension of Isomap nonlinear dimension reduction (Tenenbaum et al., 2000) for data with both spatial and temporal relationships. Our method, ST-Isomap, augments the existing Isomap framework to consider temporal relationships in local neighborhoods that can be propagated globally via a shortest-path mechanism. Two instantiations of ST-Isomap are presented for sequentially continuous and segmented data. Results from applying ST-Isomap to real-world data collected from human motion
more » ... performance and humanoid robot teleoperation are also presented.
doi:10.1145/1015330.1015357 dblp:conf/icml/JenkinsM04 fatcat:7wlcdvblv5dujdukxbkaaxlc4m
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Odest Chadwicke Jenkins, Maja J. Matarić. "A spatio-temporal extension to Isomap nonlinear dimension reduction." Twenty-first international conference on Machine learning - ICML '04 (2004)