Search results
Results From The WOW.Com Content Network
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation. [1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [ 1 ]
By allowing a false positive rate for the duplicates, the communication volume can be reduced further as the PEs don't have to send elements with duplicated hashes at all and instead any element with a duplicated hash can simply be marked as a duplicate. As a result, the false positive rate for duplicate detection is the same as the false ...
Detecting duplicates is pretty simple. I'm doing this in python. You just create a set(), check to see if a name is already in the set, and if not, add it. Easy peasy. But, when I ran some sanity checks on the output (using jq, sort, and uniq -c), ⁿᵘˡˡ (and a few other non-ascii names) kept showing up as being there multiple times.
The following is a list of the 172 most common word duplicates (number after word is count of occurrences) extracted from a search of all English Wikipedia articles existing on 21 February 2006. Most punctuation was automatically removed and so the count is unlikely to be 100% accurate.
For example, in PostScript syntax, { dup mul } represents an anonymous procedure to duplicate what is on the top of the stack and then multiply the result – a squaring procedure. Since procedures are treated as simple data objects, names with procedures can be defined. When they are retrieved, they are executed directly.
This convention is technically a constraint but it is neither a domain constraint nor a key constraint; therefore we cannot rely on domain constraints and key constraints to keep the data integrity. In other words – nothing prevents us from putting, for example, "Thick" for a book with only 50 pages – and this makes the table violate DKNF.
In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.