Results 211 to 220 of about 193,926 (266)
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Journal of the Acoustical Society of America, 2001
This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
Schoentgen Jean
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This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
Schoentgen Jean
exaly +4 more sources
Stochastic Models for Phototaxis
Bulletin of Mathematical Biology, 2008This work studies two mathematical models for describing the motion of phototactic bacteria, i.e., bacteria that move toward light. Based on experimental observations, we conjecture that the motion of the colony toward light depends on certain group dynamics. These group dynamics are hypothesized to be coordinated through an individual property of each
Levy, Doron, Requeijo, Tiago
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An Introduction to Stochastic Modeling.
Journal of the American Statistical Association, 1985Stochastic Modeling. Probability Review. The Major Discrete Distributions. @rtant Continuous Distributions. Some Elementary Exercises. Useful Functions, Integrals, and Sums. Conditional Probability and Conditional Expectation: The Discrete Case. The Dice Game Craps. Random Sums. Conditioning on a Continuous Random Variable. Markov Chains: Introduction:
Martin Crowder, H. M. Taylor, S. Karlin
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Procedings of the British Machine Vision Conference 2005, 2005
Deformable or active contour, and surface models are powerful image segmentation techniques. We introduce a novel fast and robust bi-directional parametric deformable model which is able to segment regions of intricate shape in multi-modal greyscale images.
Ayman El-Baz +2 more
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Deformable or active contour, and surface models are powerful image segmentation techniques. We introduce a novel fast and robust bi-directional parametric deformable model which is able to segment regions of intricate shape in multi-modal greyscale images.
Ayman El-Baz +2 more
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A Stochastic Model for Bidding
Journal of the Operational Research Society, 1978Competitive bidding situations involve considering a multiplicity of factors. Organizations must be able to weigh the relative probability of potential projects based on resource usage, project duration and competitor actions to decide which of many possible bids to submit.
Knode, Charles S., Swanson, Lloyd A.
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Stochastic modelling of intermittency
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010Recently, methods have been developed to model low-dimensional chaotic systems in terms of stochastic differential equations. We tested such methods in an electronic circuit experiment. We aimed to obtain reliable drift and diffusion coefficients even without a pronounced time-scale separation of the chaotic dynamics.
Thomas, Stemler +3 more
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Stochastic Model Checking with Stochastic Comparison
2005This paper presents a stochastic comparison based method to check state formulas defined over Discrete Time Markov Reward Models. High-level specifications like stochastic Petri nets, Stochastic Automata Networks, Stochastic Process Algebras have been developed to construct large Markov models.
Nihal Pekergin, Sana Younès
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Stochastic Structural Modeling
Mathematical Geology, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Holden, Lars +5 more
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A Stochastic Model for Auditing
The Journal of the Operational Research Society, 1992Auditing is based on random sampling from the records of a company. This paper considers a Bayesian model for determining the sample sizes by finding a balance between the cost of sampling and the risk of leaving major faults undiscovered. It leads to a dynamic programming problem which involves substantial computations, but a slightly different ...
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