Results 11 to 20 of about 1,103,073 (309)

Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images [PDF]

open access: yesPattern Recognition, 2018
There are two types of information in each handwritten word image: explicit information which can be easily read or derived directly, such as lexical content or word length, and implicit attributes such as the author's identity.
He, Sheng, Schomaker, Lambert
core   +4 more sources

Skip-Gram-KR: Korean Word Embedding for Semantic Clustering

open access: yesIEEE Access, 2019
Deep learning algorithms are used in various applications for pattern recognition, natural language processing, speech recognition, and so on. Recently, neural network-based natural language processing techniques use fixed length word embedding.
Sun-Young Ihm, Ji-Hye Lee, Young-Ho Park
doaj   +2 more sources

A Word on Words in Words: How Do Embedded Words Affect Reading?

open access: yesJournal of Cognition, 2018
A surprisingly small portion of reading research has been dedicated to investigating how the visual word recognition process is influenced by embedded words (e.g., ‘'arm'’ in ‘'charm'’), and no research has yet investigated embedded words in a natural ...
Joshua Snell   +2 more
doaj   +2 more sources

Effects of delay, length, and frequency on onset RTs and word durations: Articulatory planning uses flexible units but cannot be prepared

open access: yesCognitive Neuropsychology, 2022
There is debate regarding whether most articulatory planning occurs offline (rather than online) and whether the products of off-line processing are stored in a separate articulatory buffer until a large enough chunk is ready for production.
C. Romani   +3 more
semanticscholar   +1 more source

Faster Algorithms for Text-to-Pattern Hamming Distances [PDF]

open access: yesIEEE Annual Symposium on Foundations of Computer Science, 2023
We study the classic Text-to-Pattern Hamming Distances problem: given a pattern P of length m and a text T of length n, both over a polynomial-size alphabet, compute the Hamming distance between P and $T[i \ldots i+m-1]$ for every shift i, under the ...
Timothy M. Chan   +3 more
semanticscholar   +1 more source

Checking whether a word is Hamming-isometric in linear time [PDF]

open access: yesTheoretical Computer Science, 2021
A finite word $f$ is Hamming-isometric if for any two word $u$ and $v$ of same length avoiding $f$, $u$ can be transformed into $v$ by changing one by one all the letters on which $u$ differs from $v$, in such a way that all of the new words obtained in ...
M-P B'eal, M. Crochemore
semanticscholar   +1 more source

Descent distribution on Catalan words avoiding a pattern of length at most three [PDF]

open access: yesDiscrete Mathematics, 2018
Catalan words are particular growth-restricted words over the set of non-negative integers, and they represent still another combinatorial class counted by the Catalan numbers. We study the distribution of descents on the sets of Catalan words avoiding a pattern of length at most three: for each such a pattern $p$ we provide a bivariate generating ...
Baril, Jean-Luc   +2 more
openaire   +3 more sources

The Method of Estimating the Period of a Symbolic Periodic Sequence with Noise, Based on the Sub-Words Positions in the Sequence

open access: yesСовременные информационные технологии и IT-образование, 2020
The method of estimating the period of an almost periodic sequence is proposed. The period of an almost periodic sequence is the length of the smallest periodic pattern that composes the corresponding completely periodic sequence by repetition.
Galina Zhukova   +3 more
doaj   +1 more source

Avoiding vincular patterns on alternating words [PDF]

open access: yes, 2016
A word $w=w_1w_2\cdots w_n$ is alternating if either $w_1w_3\cdots$ (when the word is up-down) or $w_1 ...
Gao, Alice L. L.   +2 more
core   +2 more sources

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