… and scalable method with rigorous convergence guarantee, … RPCA is a basic data compression
technique with various … speed into consideration, we select the LSP as the representative …

… [29], have been proposed to select the individuals. The best approach selects the best individual
… While in the random approach, certain numbers of individuals are selected randomly for …

… extraction process at the base of the … selected so that only local maxima on H σ will survive.
Differently from the standard multi-scale approach employed for instance in the Harris-affine …

… Affine-Scale-Invariant Feature Transform (ASIFT), which is the modified version of SIFT
method… is reduced by the optimal descriptor selection approach with the aid of hybrid meta-…

… Using this setup, we show that the basic scheme of using a set of … methods for a selected
problem in 2. Somewhat subjectively, we select the (max + min)/2 scaling as the technique to …

… In Section 5 the proposed techniques are assessed on selected numerical examples. First
the AKR is deployed on a random system and then the combined AKR with MOR is employed …

… Dictionary learning methods aim to discover a set of basis atoms (dictionary) that allow the
… two methods is shown in Table 4 and we can find that the separated MLPs produce a better …

… Thus, we find the best approach to be to always frame affine constraints in the Pauli basis
to … Using combinations of basis choice and LI-MLE postprocessing, we compute the …

… that could serve as a basis for selecting a particular tool in given … , but manual feature
selection methods have demonstrated … transformation methods are considered – similarity, affine, …

… First, we propose an encoding method based on feature map selection with … [21] suggest
that the scaling factors used as affine … On the basis of the consideration that feature maps carry …