We specifically focus on the tilt modulus, where very large differences between Fourier and real-space based methods are observed, including those derived using ReSIS.
There have been proposed many space-time based methods such as [36, 41, 42], and we also have to expand our method to the video-to-video version.
This algorithm reduces the dimension of the CCR feature space and, as a consequence, the time and space complexity of the CCR based methods of image classification, exponentially.
A modal space based direct method is developed for vortex-induced vibration (VIV) prediction of flexible risers.
We further develop a solution algorithm based on the Lagrangian decomposition for the primal problem and a space-time prism based method to reduce the solution search space.
An SVM is a kind of large-margin classifier: it is a vector space based machine learning method where the goal is to find a decision boundary between two classes that is maximally far from any point in the training data (possibly discounting some points as outliers or noise).
Second, we develop a new method for comparing RNA models with different state spaces, based on methods created for comparing amino acid and codon models (Seo and Kishino 2008, 2009).
Comprehensive model space based biochemical equilibrium model selection methods are realizable.
Yang et al. review space system attitude determination and control using quaternion based method [5].
In this paper, we prove a strong convergence theorem for finding a common solution of a general system of finite variational inequalities for finite different inverse-strongly accretive operators and solutions of fixed point problems for a nonexpansive semigroup in a Banach space based on a viscosity approximation method by using weak contraction mappings.
To assess functional diversity, i.e. the amount of functional space filled by a set of fish species, we built a multidimensional functional space based on the trait values (see Methods 'Functional space computation' and18).
