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Agnès Desolneux – författare

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7 produkter

  1. Agnès Desolneux, Lionel Moisan, Jean-Michel Morel - From Gestalt Theory to Image Analysis, Inbunden. Tillgänglighet: Lägg i varukorg

    From Gestalt Theory to Image Analysis

    A Probabilistic Approach

    Av Agnès Desolneux, Lionel Moisan m. fl.

    Inbunden, 2007

    566 kr

    Lägg i varukorg

    This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are inspired by, and are a mathematical formalization of the Gestalt theory. The authors maintain a publicly available …

  2. Jean-Michel Morel, Lionel Moisan, Agnes Desolneux - From Gestalt Theory to Image Analysis, E-bok. Tillgänglighet: Lägg i varukorg

    From Gestalt Theory to Image Analysis

    A Probabilistic Approach

    Av Jean-Michel Morel, Lionel Moisan m. fl.

    E-bok, 2007

    734 kr

    Lägg i varukorg

    This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are inspired by, and are a mathematical formalization of the Gestalt theory. The authors maintain a publicly available …

  3. David Mumford, Agnès Desolneux - Pattern Theory, Häftad. Tillgänglighet: Lägg i varukorg

    Pattern Theory

    The Stochastic Analysis of Real-World Signals

    Av David Mumford, Agnès Desolneux

    Häftad, 2024

    735 kr

    Lägg i varukorg

    Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then …

  4. David Mumford, Agnès Desolneux - Pattern Theory, E-bok. Tillgänglighet: Lägg i varukorg

    Pattern Theory

    The Stochastic Analysis of Real-World Signals

    Av David Mumford, Agnès Desolneux

    E-bok, 2010

    873 kr

    Lägg i varukorg

    Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then …

  5. David Mumford, Agnès Desolneux - Pattern Theory, E-bok. Tillgänglighet: Lägg i varukorg

    Pattern Theory

    The Stochastic Analysis of Real-World Signals

    Av David Mumford, Agnès Desolneux

    E-bok, 2010

    892 kr

    Lägg i varukorg

    Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then …

  6. Agnès Desolneux, Lionel Moisan, Jean-Michel Morel - From Gestalt Theory to Image Analysis, Häftad. Tillgänglighet: Lägg i varukorg

    From Gestalt Theory to Image Analysis

    A Probabilistic Approach

    Av Agnès Desolneux, Lionel Moisan m. fl.

    Häftad, 2010

    550 kr

    Lägg i varukorg

    This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are inspired by, and are a mathematical formalization of the Gestalt theory. The authors maintain a publicly available …

  7. David Mumford, Agnès Desolneux - Pattern Theory, Inbunden. Tillgänglighet: Lägg i varukorg

    Pattern Theory

    The Stochastic Analysis of Real-World Signals

    Av David Mumford, Agnès Desolneux

    Inbunden, 2010

    1567 kr

    Lägg i varukorg

    Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probabilistic models whose samples reproduce the look and feel of the real signals, their patterns, and their variability. Bayesian statistical inference then …