Inference and Learning for Active Sensing‚ Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Examples include, among others, gaze planning and other active vision problems, active learning, sensor and actuator placeme...
| Päätekijät: | , , , |
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| Muut tekijät: | |
| Aineistotyyppi: | Kirja |
| Julkaistu: |
2009
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