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1 Ergebnisse
1
Transition State Clustering for Interaction Segmentation an..:
, In:
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
,
Hahne, Fabian
;
Prasad, Vignesh
;
Kshirsagar, Alap
... - p. 512-516 , 2024
Link:
https://dl.acm.org/doi/10.1145/3610978.3640738
RT T1 <cTitle>Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>Transition State Clustering for Interaction Segmentation and Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3640738&Exemplar=1&LAN=DE A1 Hahne, Fabian A1 Prasad, Vignesh A1 Kshirsagar, Alap A1 Koert, Dorothea A1 Stock-Homburg, Ruth Maria A1 Peters, Jan A1 Chalvatzaki, Georgia PB ACM YR 2024 K1 hidden markov models K1 learning from demonstrations K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Unsupervised learning and clustering K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Mixture modeling K1 Learning settings K1 Learning from demonstrations SP 512 OP 516 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3610978.3640738 DO https://dl.acm.org/doi/10.1145/3610978.3640738 SF ELIB - SuUB Bremen
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