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Showing 1 to 3 of 3 for “"Stochastic features"”.

  1. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification

    … framework for detection and classification of features in environments abundant with error-inducing noise. The approach takes advantage of Bayesian correction and classification in three distinct stages. The corrective scheme described here extracts useful but highly stochastic features from a …

    vt Repository record for Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification (opens in a new tab)

  2. Efficient learning and planning using spatial side information

    … for learning and planning in environments with stochastic features? Side information in this context refers to any information that does not directly determine system parameters, but indicates a relationship between them. Such information can often be obtained from existing data, including that …

    uiuc Repository record for Efficient learning and planning using spatial side information (opens in a new tab)

  3. Simulating organization of convective cloud fields and interactions with the surface

    … these runs, we tentatively ascribe triggering to stochastic features in the flow, without discarding the relevance of convergence lines produced by mesoscale density currents, such as the sea breeze and cold pool storm outflows.

    cambridge Repository record for Simulating organization of convective cloud fields and interactions with the surface (opens in a new tab)