Publications
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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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A stability analysis of the fundamental matrix
The Fundamental matrix is a key concept when working with uncalibrated images and multiple viewpoints. It contains all the available geometric information and enables to recover the epipolar geometry from…
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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.
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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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On the direct determination of epipoles: a case study in algebraic methods for geometric problems
Studies experimentally the problem of computing the position of the epipoles in a pair of uncalibrated images; three families of methods are successively considered.
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Incorporating linguistic features in a hybrid HMM/MLP speech recognizer
We propose two schemes for incorporating distinctive speech features (sonorant, fricative, nasal, vocalic, and voiced) into the MLP component of our system. We show a small improvement in recognition performance…
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On Using Technology For Understanding Science
This essay calls for the science education community to consider seriously the educational implications of technology-derived fundamental changes in scientific methodologies.
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Automated Drawing of Metabolic Pathways
This paper presents algorithms for drawing metabolic pathways by dynamically querying the underlying knowledge base.
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The Role of Voice in Human-Machine Communication
This chapter reviews application areas in which spoken interaction may play a significant role, assesses potential benefits of spoken interaction with machines, and attempts to compare voice with alternative and…
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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…