We also give some lower estimates of the approximation error and discuss a specific greedy algorithm for approximation of convex domains in 2 .doi:10.1134/S0081543810020215Vladimir N. TemlyakovSP MAIK Nauka/InterperiodicaProceedings of the Steklov Institute of Mathematics...
inequalities are extracted from the H-representation of the convex hull of all possible differential patterns of the S-box. For the second method, we develop a greedy algorithm for selecting a given number of inequalities from the convex hull. Using these inequalities combined with Mixed-integer ...
In addition, Table 9 details that MedCAT has a high percentage of false positive span labels, leading to a reduced precision. This indicates that using MedCAT combined with a greedy span suggester could improve results even further. Table 6 Semantic end-to-end performance of span ...
The main purpose of this report is to study the intimate relationship which appears to exist between lexicographic order on the one hand and linearity on the other. Topic headings include: The greedy algorithm, Linearity of lexicodes, Triangular lexicodes, Standard lexicodes, Gray lexicodes, Lexi...
Firstly, the FMO checkerboard pattern is used at the encoder, so as to prevent MBs of a large area getting lost. Then at the decoder, Greedy Spread Motion Region Extraction (GSMRE) method is used to distinguish low-motion region from high-motion region in each frame based on different ...
For the second method, we develop a greedy algorithm for selecting a given number of inequalities from the convex hull. Using these inequalities combined with Mixed-integer Linear Programming (MILP) technique, we propose an automatic method for evaluating the security of bit-oriented block ciphers ...
Our reference resolution classifier consists of a greedy algorithm which visits each template in the order of appearance in each document, and classifies the head of a template as EQUIV, SUBSETOF, SUPERSETOF, and NONE for each available cluster. If the template is EQUIV to one or more clusters...
In this paper, we presented a novel greedy learning algorithm, based on our observations regarding the monotonic characteristic of the optimal causal structure, and we used Branch-based learning (Definition 1) for our core search algorithm. Because the branch contains partial causal relations among ...