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...
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2009
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Inference and Learning for Active Sensing, Experimental Design and Control
Veröffentlicht 2009
Conference item