fuzzy name matching algorithm

FREAK algorithm is a ICCV 2012 on the feature point detection and matching of the paper "Freak:fast Retina KeyPoint" proposed, from the article title can be seen that the algorithm is characterized by a rapid, Another feature is that the algorithm is inspired by the principle of human eye recognition objects.I've seen

figure G is a two-point figure.Match: A collection of edges without a common point (you can imagine the word marriage).Number of matches: the number of edges in the edge setMaximum match: Match the maximum number of matches.1-1, Show is a two-part diagram: The bold line represents a matching method of the dichotomy, it is not difficult to find that the match is now the maximum match.How can I get a maximum match for a binary graph? Use a simple enume

This article provides the idea and complete code for the Hungarian algorithm to find the maximum matching of a bipartite graph, and gives some comments on several small issues in algorithm learning. First, name the two sides of the Bipartite Graph as side A and side B. A key term for the Hungarian

"The algorithms on the books are often very complex, and I plan to use a humorous example to describe the process of the algorithm."The Hungarian algorithm was proposed by the Hungarian mathematician Edmonds in 1965, hence the name. The Hungarian algorithm is based on the idea of sufficiency proof in Hall theorem, it i

Simple String Matching algorithm descriptionThe most common scenario for a string matching algorithm is to find the specified text from a document. The text you need to find is called a pattern string, and the string from which you want to find the pattern string is called the find string.To better understand the KMP

of finding an augmented path is O (m), which is increased by up to N times, and DFS is more concise in its actual implementation. The basic mode of the Hungarian algorithm: 1, the initial maximum match is empty 2, while (find the augmented path) 3, do Add the augmented path to the maximum match. If the left half of the binary graph has n points, up to n increments, if there are M-bars in the graph, each augmented path iterates through the edges, so

Http://hi.baidu.com/l6834279/item/d6ef651684dda4fcddeecae3 First, briefly describe some basic concepts about the BM algorithm. The BM algorithm is an exact string matching algorithm (different from fuzzy match ). The BM algorithm

I. Restatement of the issueThe existing string S1, S1 the part that matches the string S2 exactly, for example:S1 = "ABABAABABC"S2 = "ABABC"Then the result of the match is 5 (the position of "ababc" in S1), of course, if there is more than one S2 in S1 is OK, can find the first one can find the second one.-------The easiest way to think of the method is naturally double-loop bitwise alignment (BF algorithm), but in the worst case the time complexity o

the running time and memory usage of several submitted programs: ID Date Author Problem Language JudgementResult ExecutionTime MemoryUsed 2612947 19:52:41 20 May 2009 Skyivben 1102 C ++ Accepted 0.062 121 KB 2612930 19:44:58 20 May 2009 Skyivben 1102 C # Accepted 0.125 10 561 KB 2612807 17:17:31 20 May 2009 Skyivben 1102 C # Accepted 0.718

Article Starter: http://pjf.name/post-122.html This article is based on "name identification-non-commercial-share 4.0 International" agreement Creation or reprint, reproduced original article please indicate the private plots from the madman , otherwise please do not reprint or reprint, thank you cooperation:) First of all, D.e.knuth,j.h.morris and V.r.pratt, the three old-timers salute, invented this efficient al