Nathan Sprague

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Recent eye tracking studies in natural tasks suggest that there is a tight link between eye movements and goal directed motor actions. However, most existing models of human eye movements provide a bottom up account that relates visual attention to attributes of the visual scene. The purpose of this paper is to introduce a new model of human eye movements(More)
We present a trainable system for locating clothed people in photographic images. People detection is a particularly challenging image understanding problem; as a result of variations in clothing and posture, the appearance of people may vary enormously from image to image. Our approach attempts to construct a maximally personlike assembly of image regions,(More)
This dissertation explores the problem of visually guided control. The focus is not on the details of image processing, but on understanding the role that vision plays within the context of an active agent. More specifically, we focus on managing vision in multiple goal tasks. When multiple tasks are addressed simultaneously conflicts arise because of(More)
This paper addresses the problem of learning control policies in very high dimensional state spaces. We propose a linear dimensionality reduction algorithm that discovers predictive projections: projections in which accurate predictions of future states can be made using simple nearest neighbor style learning. The goal of this work is to extend the reach of(More)