Publications
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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…
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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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Hybrid Reasoning using Universal Attachment
Universal attachment is a domain-independent mechanism for integrating diverse representation and reasoning methods into hybrid frameworks that contain a subsystem based on deduction over logical formulas.
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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…
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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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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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Integrating Planning and Reactive Control
Agents situated in dynamic and unpredictable environments require several capabilities, including synthesizing and executing plans while continuing to be responsive to the world.