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The dissolved oxygen dynamics is nonlinear and of high dimension.
Methodology and software for multiversion setting and solution of high dimension design problems was developed.
The proposed method is sufficiently fast to analyze large survey data of high dimension within seconds.
Feature selection is an important preprocessing step in many applications where the data points are of high dimension.
Many-objective algorithms represent the novelty in MOEA research because they are specially designed to handle search spaces of high dimension.
Moreover, it holds certain properties that make it ideal for soft computing applications of high dimension, especially those that adopt user-profiles or require partial re-training.
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Another problem results from considering design objectives of high dimensions, when the conception of Pareto-domination is not effective.
Given a large collection (>104) of proto image patches extracted from objects, we map them into two types of manifolds with different metrics: explicit manifolds of low dimensions for structural primitives, and implicit manifolds of high dimensions for stochastic textures.
The generally intractable multi-target Bayesian filter involves integrals of high dimensions.
Dimension reduction refers to the process of converting a dataset of high dimensions, into dataset with less dimensions.
Indeed, processing huge amounts of images means being able to process huge quantities of data often of high dimensions, which is problematic for most machine learning techniques.
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