This paper will teach you how to write a powerful Q-gram algorithm that can be used to perform such string comparison tasks. COMMON USES FOR STRING SIMILARITY Common applications that require string similarity measurement include: Real-time name/address lookup A user types in a piece of a name...
IntPtrToDWord function (Windows) IntToWord function (Windows) IInkDivisionUnit::ToString method (Windows) ShortToByte function (Windows) IInputPersonalizationDataResource::Reserved6 method (Windows) SSIZETToLong function (Windows) SSIZETToULong function (Windows) IISDB_BIT::GetTableDescriptorByIndex m...
Bulk change of the fomat of users phone numbers in AD bulk import / create users Bulk update 'manager' AD attribute from CSV containing samAccountNames (of user with respective manager) bulk Update attribute in AD, best way to get this done? Bulk update user login names in active directory...
Now that we are processing 128 bits at a time, how about trying the bswap algorithm within the inner loop, and then mixing the final results together with 128 bit multiplies and xorshifts? This removes dependencies in the inner loop, and allows the processor to extract extra parallelism it c...
In simple terms, the rasterized Scene is captured, edges are analyzed and an algorithm run on top of the existing image to smooth it out. It is straightforward, doesn’t have any complex dependencies, and is fast. Temporal Anti-Aliasing is a lot more complex. Temporal uses jittering and ...
By default, the Kindle device uses a fuzzy algorithm for matching diacritics during word lookup. Languages that use contrastive diacritics to distinguish between distinct word forms should use the exact="yes" attribute in the <idx:iform /> tag to force exact match of diacritics during lookup. ...
ESG subcategory were filtered out. This left ~320 companies for analysis. In order to create and test the algorithm, ~256 companies were used as training data, while ~64 companies were used for testing data. These results were used to determine the predictive capabilities of the algorithm. ...
Creating visualizations from human readable data in electronic documents is provided. One or more facts may be parsed from an electronic document by a computing device. The one or more facts may consist of a human readable sentence. A search may then be performed for an icon based on the ...
In simple terms, the rasterized Scene is captured, edges are analyzed and an algorithm run on top of the existing image to smooth it out. It is straightforward, doesn’t have any complex dependencies, and is fast. Temporal Anti-Aliasing is a lot more complex. Temporal uses jittering and ...
no learning phase or supervision in order to be implemented. In addition, the algorithm can be modified and extended in a variety of ways to produce lower error rates with little added complexity or degradation in processing speed. Moreover, the algorithm can also be extended to other languages...