Author: SRI International
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Facilitating Collaborative Problem Solving With Distant Mentor
This work addresses the problem of helping learners develop concepts and skills needed to be productive in the fast-changing technical workplace. It marries the kind of informal, on-demand learning preferred by workplace professionals and advocated by learning theorists with the support for learning at a distance afforded by networked computing environments.
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An Experimental Study of Acoustic Adaptation Algorithms
In this paper we focus on transformation-based maximum-likelihood (ML) adaptation.
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Using Information Technology For Delivering Education In The United States: A Status Report
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Motion of points and lines in the uncalibrated case
In the present paper we address the problem of computing structure and motion, given a set point and/or line correspondences, in a monocular image sequence, when the camera is not calibrated.
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Statistical Language Modeling for Speech Disfluencies
We introduce a language model that predicts disfluencies probabilistically and uses an edited, fluent context to predict following words. It uses dynamic programming to compute the probability of a word sequence, taking into account possible hidden disfluency events.
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Self-Calibration of a Stereo Rig from Unknown Camera Motions and Point Correspondences
We show theoretically and with experiments on real images, how it is possible to completely calibrate a stereo rig, that is to determine each camera’s intrinsic parameters and the relative displacement between the two or three cameras, using only point matches obtained during unknown motions, without any a priori knowledge of the scenes.
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Canonical representations for the geometries of multiple projective views
We present a new unified representation which will be useful when dealing with multiple views in the case of uncalibrated cameras.
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Educational Software Architecture And Systemic Impact: The Promise Of Component Software
This report describes results from a national telephone survey that asked parents about their attitudes, beliefs, and practices related to early learning, science learning, and digital media use…
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A Phone-Dependent Confidence Measure for Utterance Rejection
An acoustic confidence measure for acceptance/rejection of recognition hypotheses for continuous speech utterances is proposed. This measure is useful for rejecting utterances that are out of domain, or contain out-of-vocabulary words or speech disfluencies.
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Mentors In The Classroom: Bringing The World Outside In
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Connecting The Connectivity And The Component Revolutions To Deep Curriculum Reform
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Programming Games For Learning About Magnetism And Electricity