Author: SRI International
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World Links Student Assessment Report, 1998-1999
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Constructopedia
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Educational Software Components Of Tomorrow
In this paper, we report some of the early results from our testbed for developing interoperable components for middle school mathematics, as well as some of the difficult challenges that lie ahead.
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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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How Inner-City Children See Their Family, School, Peers And Neighborhood: Developmental Changes During The Transition To Adolescence
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“…It’s Fair Because They Each Have Two”: The Development Of A Mathematical Practice Across Two Social Contexts
They have an equal chance of landing on…tails [R types] We think the game is fair because it has an equal chance of landing on heads as it has on tails.
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Cornerstones For An Online Community Of Education Professionals
Our goal is to learn how to grow a self-sustaining on-line community of education professionals that supports and enhances the professional growth of its members over the length of their careers.
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Efficient Lattice Representation and Generation
We describe two new techniques for reducing word lattice sizes without eliminating hypotheses.
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The first-down marker: How technology changed the game
The technology behind the line combines pattern recognition with augmented reality to deliver real-time game information for TV viewers.
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Automatic Detection of Sentence Boundaries and Disfluencies based on Recognized Words
We study the problem of detecting linguistic events at interword boundaries, such as sentence boundaries and disfluency locations, in speech transcribed by an automatic recognizer. Several model combination approaches are investigated.
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A Framework for Detecting Changes in Terrain
We propose a methodology that estimates the accuracy and reliability of the results of any multiple-image point correspondence algorithm, without the need for ground truth or camera calibration.
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Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms
We propose a methodology that estimates the accuracy and reliability of the results of any multiple-image point correspondence algorithm, without the need for ground truth or camera calibration.