Fuzzy extractors are a method that allows biometric data to be used as inputs to standard cryptographic techniques, to enhance computer security. "Fuzzy"...

A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weak entropy source, together with a short...

mechanism, such a device is resistant to spoofing attacks. Using a fuzzy extractor or the fuzzy commitment scheme that are provably suboptimal in terms of storage...

schools European Association for Biometrics Fingerprint recognition Fuzzy extractor Gait analysis Government database Handwritten biometric recognition...

Type-2 fuzzy sets and systems generalize standard type-1 fuzzy sets and systems so that more uncertainty can be handled. From the beginning of fuzzy sets...

Fuzzy matching is a technique used in computer-assisted translation as a special case of record linkage. It works with matches that may be less than 100%...

AssureSign BioAPI Biometrics Biometrics in schools Fingerprint recognition Fuzzy extractor Gait analysis Government database Handwritten biometric recognition...

applying error correction techniques, such as ‘helper data algorithms’ or fuzzy extractors. These algorithms perform two main functions: error correction and...

fuzzy systems between software: for example, a machine learning application could extract fuzzy rules which could then be read directly into a fuzzy inference...

designed & developed Machines such as NICHO Vegetable Seed Extractor (1968-1970), NICHO Fuzzy Seed Cleaning Machine (1981–82), NICHO Groundnut Blower Grader...

other hand, gist representations are fuzzy, general, and abstracted representations of the information. The fuzzy-trace theory relates to false memory...

customisable segmentation using regular expressions, translation memory with fuzzy matching and match propagation, glossary matching, dictionary matching,...

Fuzzy-trace theory (FTT) is a theory of cognition originally proposed by Valerie F. Reyna and Charles Brainerd to explain cognitive phenomena, particularly...

"coreference/entity/identity/name/record resolution", "entity disambiguation/linking", "fuzzy matching", "duplicate detection", "deduplication", "record matching", "(reference)...

learning, neural networks, fuzzy logic and general machine learning). Berthold has published on methods to extract fuzzy models from data based on constructive...

of fuzzy concepts Intuitionistic fuzzy rough sets Generalized rough fuzzy sets Rough intuitionistic fuzzy sets Soft rough fuzzy sets and soft fuzzy rough...

directed by JT the Bigga Figga. The filmmakers did not get the permission from Fuzzy Logic Pictures, resulting in the production company suing Snoop Dogg and...

cotton industry to neutralize the sulfuric acid needed for acid delinting of fuzzy cottonseed. It is also used to form carbonates of other metals by ion exchange...

training set changes and requires no backpropagation. A neuro-fuzzy network is a fuzzy inference system in the body of an artificial neural network. Depending...

as an improvised cricket ball with the tape stretched tightly over the fuzzy felt-like covering of a tennis ball to ensure a smooth surface that produces...

In computer science, an evolving intelligent system is a fuzzy logic system which improves the own performance by evolving rules. The technique is known...

Empiricism also holds as an argument against definitions. Some concepts have fuzzy membership. There are items for which it is vague whether or not they fall...

columbianum). The leaves are smooth on top with often wrinkled edges, and fuzzy white to red-brown underneath, and point straight to the sides or downward...

there – [with tracks such as] 'Can't Wait Too Long', we get into a very fuzzy area". In 2017, additional session highlights from the album were released...

8-bit character strings, but other suitable hash functions are also used. Fuzzy hashing, also known as similarity hashing, is a technique for detecting...

various characteristics, most called peaches and the glossy-skinned, non-fuzzy varieties called nectarines. Peaches and nectarines are the same species...

logic for uncertain probabilities". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 9 (3): 279–311. doi:10.1142/S0218488501000831...

scheme. With the use of the fitness granulation approach called "Adaptive Fuzzy Fitness Granulation (AFFG)", the expensive fitness evaluation step is replaced...

binding proteins often depends on the length of fuzzy regions, which is varied by alternative splicing. Some fuzzy complexes may exhibit high binding affinity...

enables non-experts, who are not familiar with data science, to quickly extract value from their data with a little effort, time, and cost. getML community...