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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 person-like assembly of image(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)
University in 1997 with a Bachelor of Science degree in computer science. In the fall of 1997 he moved to Madison, Wisconsin where he worked for a year as a software developer at Epic Systems Corporation. In the fall of 1998 Nathan entered the computer science graduate program at the University of Rochester. He completed his Master's degree there in 2000.(More)