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1. Proceedings of the Fourth PHANTOM Users Group Workshop - Salisbury, J. Kenneth; Srinivasan, Mandayam A. The workshop included sessions on, Tools for Programmers, Dynamic Environments, Perception and Cognition, Haptic Connections, Collision Detection / Collision Response, Medical and Seismic Applications, and Haptics Going Mainstream.
3. Proceedings of the Second PHANToM User's Group Workshop - Salisbury, J. Kenneth; Srinivasan, Mandayam A. On October 19-22, 1997 the Second PHANToM Users Group Workshop was held at the MIT Endicott House in Dedham, Massachusetts.
6. Internet Fish - LaMacchia, Brian A. Internet Fish (IFish) are semi-autonomous, persistent information brokers; users deploy individual IFish to gather and refine information related to a particular topic.
7. An Analog VLSI Chip for Estimating the Focus of Expansion - McQuirk, Ignacio Sean This thesis describes the design and testing of a real-time analog VLSI chip which estimates the focus of expansion (FOE) from measured time-varying images.
8. Pose-Invariant Face Recognition Using Real and Virtual Views - Beymer, David Most existing work in face recognition has limited the scope of the problem, however, by dealing primarily with frontal views, neutral expressions, and fixed lighting conditions.
12. Series Elastic Actuators - Williamson, Matthew M. This thesis presents the design, construction, control and evaluation of a novel force controlled actuator.
15. Specialization of Perceptual Processes - Horswill, Ian I will argue that a variety of interesting tasks can be solved using simple and inexpensive vision systems.
16. The Named-State Register File - Nuth, Peter R. This thesis introduces the Named-State Register File, a fine-grain, fully-associative register file.
19. A Radial Basis Function Approach to Financial Time Series Analysis - Hutchinson, James M. This thesis presents a collection of practical techniques to address important estimation and confidence issues for Radial Basis Function networks arising from such a data driven approach, including efficient methods for parameter estimation and pruning, a pointwise prediction error estimator, and a methodology for controlling the "data mining'' problem.