William J. Wolfe

Learn More
This paper describes an online method of implementing student peer reviews. The results of applying the method to several courses is also discussed. Each week students accessed each others' assignments, as posted on individual web pages, and submitted scores and comments on the course web site. The course web site did all the bookkeeping, giving students(More)
A special class of mutually inhibitory networks is analyzed, and parameters for reliable K-winner performance are presented. The network dynamics are modeled using interactive activation, and results are compared with the sigmoid model. For equal external inputs, network parameters that select the units with the larger initial activations (the network(More)
A family of symmetric neural networks that solve a simple version of the assignment problem (AP) is analyzed. The authors analyze the suboptimal performance of these networks and compare the results to optimal answers obtained by linear programming techniques. They then use the interactive activation model to define the network dynamics-a model that is(More)
One of the fundamental difficulties that arises when attempting to use computer vision in dynamic environments is that camera calibration coefficients must be adjusted as the relative distances between camera and target object change, causing refocusing to occur. Such situations arise frequently in robotic environments in which the visual sensor is mobile(More)
This paper presents a significant improvement to the traditional neural approach to the assignment problem (AP). The technique is based on identifying the feasible space (F) with a linear subspace of R(n(2)), and then analyzing the orthogonal projection onto F. The formula for the orthogonal projection is shown to be simple and easy to integrate into the(More)
We introduce a generalization of mutually inhibitory networks called homogeneous networks. Such networks have symmetric connection strength matrices that are circulant (one-dimensional case) or block circulant with circulant blocks (two-dimensional case). Fourier harmonics provide universal eigenvectors, and we apply them to several homogeneous examples:(More)
This paper describes research that is designed to integrate computer vision with complex robot planning in order to achieve a system capable of autonomously reasoning in spatially reconfigurable environments. In its basic form, the computer vision based spatial reasoning system provides the capability to view objects of known structure and kinematic design(More)