Publications
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Construct Validation Of Mathematics Achievement: Evidence From Interview Procedures
This study investigated the validity of measures derived from a large-scale multiple-choice achievement test in mathematics, using evidence from introspective think-aloud protocols of students as they attempted test items.
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Reconfigurable Elements for a Video Pipeline Processor
This paper describes a family of reconfigurable processing elements (RPEs) used to support video processing for the Sarnoff Vision Front End 200 (VFE-200) vision system.
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3–D Stereo Reconstruction of Human Faces driven by Differential Constraints
We propose a way to incorporate a priori information in a reconstruction process from a sequence of calibrated face images.
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EcoCyc: The Resource and the Lessons Learned
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The Probability Inquiry Environment: A Collaborative, Inquiry-Based Simulation Environment
We report on the Probability Inquiry Environment (PIE), which facilitates the development of probabilistic reasoning by making available collaborative inquiry activities and student-controlled simulations.
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Using the EcoCyc Database
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Prolegomena to a Theory of Disability, Inability and Handicap
In this paper we extend a theory of action, IPT to try to elucidate these concepts. This attempt at elucidation is itself at most a prolegomena to a study that…
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Combining Words and Speech Prosody for Automatic Topic Segmentation
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topic units. The approach combines hidden Markov models, statistical language models,…
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Trajectories From Today’s WWW To A Powerful Educational Infrastructure
Over the course of two days, the participants generated a wealth of ideas about the limitations of today’s web, its near-term trajectories, and potential educational advances. We share a summary…
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Information extraction using HMMs and shrinkage
This paper advocates for the use of HMMs for information extraction.
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Developing Educational Software Components
Educational applications must be very flexible because curricula and teaching styles vary tremendously among institutions, locations, and even among instructors at the same institution.
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Self-Consistency, A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms
We present a framework for reliably and robustly detecting changes in terrain (or other 3-D objects) over time.