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Exact(60)
Phase-based methods are robust to lighting variations [16].
Although non-parametric methods are robust with low computational complexity, they suffer from fundamental limitations.
However, this is a common procedure and many scientists have concluded that the methods are robust.
These two methods are robust to common image attacks; but geometric attacks are still challenges.
Trust region methods are robust optimisation methods with strong convergence properties.
The methods are robust and the results obtained are within reasonable agreement with observations.
Energy methods are robust and well suited for developing design standards.
Stochastic methods are robust and show a powerful global optimizing ability.
The analyzed methods are robust to inaccurate alignment, face occlusions, and variations in expressions, to a large degree.
In the experiments, we find that the parameters of our methods are robust and have wide range to choose.
The performances of these methods are robust but the large computational burden limits their application in practice.
More suggestions(15)
methods are reliable
approaches are robust
methods are sturdy
modes are robust
approach are robust
methods are well established
methods include robust
methods are notorious
methods are available
methods are primitive
methods are shoddy
methods are unconventional
methods are superior
methods are soil-free
methods are simple
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CEO of Professional Science Editing for Scientists @ prosciediting.com