[STACS'20] provided a 2(O(Delta nu)).vertical bar G vertical bar(O(1))-time algorithm to compute the maximum size of a Delta-temporal matching in a temporal graph G, where vertical bar G vertical bar denotes the
An Algorithm to Compute the Character Access Count Distribution for Pattern Matching Algorithms. Algorithms, 4(4):285-306, 2011.T. Marschall and S. Rahmann. An Algorithm to Compute the Character Access Count Distribution for Pattern Matching Algorithms. Algorithms, 4(4):285, 2011....
A Matching Algorithm is defined as a type of algorithm used to identify synergy and compute similarity between different entities by considering semantic aspects and explicit properties for matching in a dynamic and customizable manner. AI generated definition based on:Computer Aided Chemical Engineering,...
String matching is the problem of finding all the occurrences of a pattern in a text. We present a new method to compute a combinatorial shift function (“best matching shift”) of the well-known Boyer–Moore string matching algorithm. Moreover we conduct experiments showing that the algorit...
frames in the video, we compute the mean pixel value for this location x¯p,q=1N∑i=1N(xi,p,q) and its standard derivation σp,q=1N−1∑i=1N(xi,p,q−x¯p,q)2. We then determine whether a pixel xi,p,q of xi belongs to the foreground or background by a straightforward...
Propose to use an online optimization method calledregret matchingto minimize eachR_{i}^{T}(I, a)individually by updating\sigma^t(a|I). Thecounterfactual regretR_{i}^{T}(I, a)is defined on the level of the information set as below ...
to compute the final results by calculating the mean responses. We consideredAnas a variable to determine the number of parameters sorted. We then calculated the mean of each sorted parameter values. Lastly, the mean magnetic anomaly response was obtained with the mean model parameter set. Figure...
Detecting multiple interest points in adjacent locations is another problem. It is solved by using Non-maximum Suppression. Compute a score function, for all the detected feature points. is the sum of absolute difference between and 16 surrounding pixels values. ...
timeimageinreferenceimage,matchingpointis determinedbytheresultofcomparingawindowofsize N×Nandeachpossiblepositionofasearchregionofsize M×M,M>N.Thereare(M-N+1) 2 possibletestlocations. Therearesometypicalmeasuringfunctionsthatare usedtocomputethelikelihooddegreebetweenrealtime imageandsub-referenceimage,suc...
The Karp maximum matching algorithm was used to solve the assignment as a weighted matching problem (this algorithm outperforms the HA in terms of computational complexity). Mathematical models such as linear or dynamic programming can be implemented to find the optimal solution according to a given...