Artificial intelligence publications
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The deductive composition of astronomical software from subroutine libraries
Automated deduction techniques are being used in a system called Amphion to derive, from graphical specifications, programs composed from a subroutine library. The system has been applied to construct software…
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Learning Control Parameters of a Vision Process Using Contextual Information
This paper presents a method for the system itself to learn how to select among its algorithms and to set their parameters, reducing the need for operator expertise while improving…
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Commentary on Kyburg
A central tenet of the view is that the best theory or rational reconstruction of our mental lives will find a central and ineliminable goal for the attitude of full…
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A Robust Approach to Image Matching: Recovery of the Epipolar Geometry
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CYPRESS: Planning and Reacting under Uncertainity
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Representing, Analyzing, and Synthesizing Biochemical Pathways
This article describes challenges and opportunities for addressing computational problems in the metabolism with techniques from knowledge representation, planning, integration of heterogeneous databases, qualitative reasoning, knowledge acquisition, and machine learning.
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Evidential Reasoning and Project Early Warning Systems
PEWS combines a proven project reporting methodology with the latest artificial intelligence techniques such as evidential reasoning. Together, they ensure the successful outcome of large projects.
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An optimization framework for efficient self-calibration and motion determination
In this paper, we propose an alternative method to compute at the same time camera calibration and motion, which is robust and efficient.
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Self-calibration of an uncalibrated stereo rig from one unknown motion
We address in this paper the problem of self-calibration and metric reconstruction (up to a scale) from one unknown motion of an uncalibrated stereo rig.
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Greedy Attribute Selection
We examine five greedy hillclimbing procedures that search for attribute sets that generalize well with ID3/C4.5. Experiments suggest hillclimbing in attribute space can yield substantial improvements in generalization performance.
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Using binocular stereopsis for lane following and lane changing maneuvers
Keywords: Artificial Intelligence, Artificial Intelligence Center, AIC
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Canonic representations for the geometries of multiple projective views
We show how a special decomposition of general projection matrices, called canonic enables us to build geometric descriptions for a system of cameras which are invariant with respect to a given group…