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Extracting a map from a stream of experience is a key problem in robotics and artificial intelligence in general. We propose a technique, called subjective mapping, that seeks to learn a fully specified predictive model, or map, without the need for expert provided models of the robot’s motion and sensor apparatus. We briefly overview the recent advancements presented elsewhere (ICML, IJCAI, an...
Aamir, T., Bouguettaya, A., Dong, H., Erradi, A., Mistry, S. (2017). Social-Sensor Cloud Service for Scene Reconstruction. 15th International Conference on Service Oriented Computing (ICSOC 17), Cham, Switzerland: Springer Nature. [More Information] Jayaratna, S., Bouguettaya, A., Dong, H., Qin, A., Erradi, A. (2017). Subjective Evalua...
Darwiche: Optimal time space tradeoff in probabilistic inference. IJCAI' 03.
22 IJCAI-11: Barcelona, Catalonia, Spain (July 16–22) 21 IJCAI-09: Pasadena, California, USA (July 11–17) 20 IJCAI-07: Hyderabad, India (January 6–12) 19 IJCAI-05: Edinburgh, Scotland (July 30–August 5) 18 IJCAI-03: Acapulco, Mexico (August 9–15) 17 IJCAI-01: Seattle, Washington, USA (August 4–10) 16 IJCAI-99: Stockholm, Sweden (July 31–August 6) 15 IJCAI-97: Nagoya, Japan (August 23–29) 14 IJC...
[Published in the Proceedings of the ICMC 2000] Abstract Time-scale modification of sounds has been a topic of interest in computer music since its very beginning. Many different techniques both in time and frequency domain have been proposed to solve the problem. Some frequency domain techniques yield high-quality results and can work with large modification factors. However, they present some...
This paper summarises a panel discussion at the 2007 International Computer Music Conference on movement and gesture data formats, presents some of the formats currently in development in the computer music community, and outlines some of the challenges involved in future development.
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