Histograms of angles features for the choreography2 dataset. See https://github.com/omangin/multimodal/blob/master/features/angle_histograms.py. Mangin, P.Y. Oudeyer, Learning semantic components from sub symbolic multi modal perceptionto appear in the Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL EpiRob), Osaka (Japan) (2013) (More information, bibtex
The disentanglement of different objective properties from the external world is the foundation of l...
Machine learning can offer an increase in the flexibility and applicability of robotics at several l...
Learning representations of multimodal data that are both informative and robust to missing modaliti...
<p>Histograms of angles features for the choreography2 dataset.</p> <p>See https://github.com/omang...
Abstract—Perceptual systems often include sensors from sev-eral modalities. However, existing robots...
2018-03-02This work develops a new unsupervised learning rule and framework for learning rotation, s...
Semantic language resources are increasingly being used beyond language technology applications to c...
Machine learning can o er an increase in the exibility and applicability of robotics at several leve...
Schmüdderich JM. Multimodal learning of grounded concepts in embodied systems. Berichte aus der Robo...
Reinhart F, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural assoc...
Multimodal models have been proven to outperform text-based approaches on learning semantic represen...
People learn modality-independent, conceptual representations from modality-specific sen-sory signal...
The ability to reason about different modalities of information, for the purpose of physical interac...
It is known that during early infancy, humans experience many physical and cognitive changes that sh...
Abstract — The outcome of many complex manipulation ac-tions is contingent on the spatial relationsh...
The disentanglement of different objective properties from the external world is the foundation of l...
Machine learning can offer an increase in the flexibility and applicability of robotics at several l...
Learning representations of multimodal data that are both informative and robust to missing modaliti...
<p>Histograms of angles features for the choreography2 dataset.</p> <p>See https://github.com/omang...
Abstract—Perceptual systems often include sensors from sev-eral modalities. However, existing robots...
2018-03-02This work develops a new unsupervised learning rule and framework for learning rotation, s...
Semantic language resources are increasingly being used beyond language technology applications to c...
Machine learning can o er an increase in the exibility and applicability of robotics at several leve...
Schmüdderich JM. Multimodal learning of grounded concepts in embodied systems. Berichte aus der Robo...
Reinhart F, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural assoc...
Multimodal models have been proven to outperform text-based approaches on learning semantic represen...
People learn modality-independent, conceptual representations from modality-specific sen-sory signal...
The ability to reason about different modalities of information, for the purpose of physical interac...
It is known that during early infancy, humans experience many physical and cognitive changes that sh...
Abstract — The outcome of many complex manipulation ac-tions is contingent on the spatial relationsh...
The disentanglement of different objective properties from the external world is the foundation of l...
Machine learning can offer an increase in the flexibility and applicability of robotics at several l...
Learning representations of multimodal data that are both informative and robust to missing modaliti...
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