Publications
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TerraVision: A Terrain Visualization System
The system uses a multi-resolution representation of the terrain data divided into equal-sized subimages called tiles.
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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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CYPRESS: Planning and Reacting under Uncertainity
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A Robust Approach to Image Matching: Recovery of the Epipolar Geometry
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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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Toward Multimodal Support of Interpreted Telephone Dialogues
Irrespective of whether our goal is the eventual automation of interpreted, telephone calls, or simply the support of human interpreters during such calls, our ultimate success would be enhanced by…
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Representations of Metabolic Knowledge: Pathways
The chief contributions of the paper are a minimized representation for biochemical pathways called the predecessor list, and inference procedures for converting the predecessor list into a pathway-graph representation that…
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Computing motion and structure in image sequences without calibration
This paper proposes an algebraic method to generalize the usual equations of structure from motion, when calibration is not available.
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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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Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig
This paper addresses the problem of accurately and automatically recovering the epipolar geometry from an uncalibrated stereo rig and its application to the image matching problem.
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Context Connectionist Probability Estimation in a Hybrid Hidden Markov Model-Neural Net Speech Recognition Systems
In this paper we present a training method and a network architecture for estimating context-dependent observation probabilities in the framework of a hybrid hidden Markov model (HMM) / multi layer…