Global ETD Search

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Showing 1 to 4 of 4 for “"likelihood surface"”.

  1. Coping with uncertain dynamics in visual tracking : redundant state models and discrete search methods

    … supplementing exploration of the continuous likelihood surface with the discrete search in a fixed set of points distributed through the state space. We demonstrate the utility of these approaches on a range of machine vision problems: adaptive background subtraction, structure from motion …

    mit Repository record for Coping with uncertain dynamics in visual tracking : redundant state models and discrete search methods (opens in a new tab)

  2. A GIS Model for Minefield Area Prediction: The Minefield Likelihood Procedure

    … estimates to form a minefield prediction surface. Through use of the NATO Reference Mobility Model (NRMMII) and the Digital Topographic Support System (DTSS), trafficability estimates are generated for specific vehicles under specific terrain and weather conditions in specific areas of …

    vt Repository record for A GIS Model for Minefield Area Prediction: The Minefield Likelihood Procedure (opens in a new tab)

  3. OPTIMIZATION UNDER STOCHASTIC ENVIRONMENT

    … We propose Direct Gradient Augmented Response Surface Methodology (DiGARSM), a new sequential first-order method for optimizing a stochastic function. In this approach, gradients of the objective function with respect to the desired parameters are utilized in addition to response measurements. …

    maryland Repository record for OPTIMIZATION UNDER STOCHASTIC ENVIRONMENT (opens in a new tab)

  4. Modelling serial offenders’ spatial behaviours: new assumptions for geographic profiling

    Le profilage géographique est une méthodologie d’investigation qui utilise la localisation d’une série d’agressions pour identifier des zones prioritaires de recherche de l’agresseur. Son implémentation reste toutefois conditionnée par un nombre d’hypothèses trop simplifiées, difficiles à évaluer …

    liege Repository record for Modelling serial offenders’ spatial behaviours: new assumptions for geographic profiling (opens in a new tab)