Results 11 to 20 of about 3,386,876 (148)

Control of automated behaviour: Insights from the Discrete Sequence Production task

open access: yesFrontiers in Human Neuroscience, 2013
Work with the discrete sequence production (DSP) task has provided a substantial literature on discrete sequencing skill over the last decades. The purpose of the current article is to provide a comprehensive overview of this literature and of the ...
Elger eAbrahamse   +3 more
doaj   +2 more sources

S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching

open access: yesIEEE Journal of Selected Topics in Signal Processing
Attention based models have achieved many remarkable breakthroughs in numerous applications. However, the quadratic complexity of Attention makes the vanilla Attention based models hard to apply to long sequence tasks. Various improved Attention structures are proposed to reduce the computation cost by inducing low rankness and approximating the whole ...
Xue Wang   +8 more
openaire   +3 more sources

k-nonical space: sketching with reverse complements. [PDF]

open access: yesBioinformatics
Sequences equivalent to their reverse complements (i.e., double-stranded DNA) have no analogue in text analysis and non-biological string algorithms.
Marçais G, Elder CS, Kingsford C.
europepmc   +2 more sources

Genomic sketching with multiplicities and locality-sensitive hashing using Dashing 2. [PDF]

open access: yesGenome Res, 2023
A genomic sketch is a small, probabilistic representation of the set of k-mers in a sequencing data set. Sketches are building blocks for large-scale analyses that consider similarities between many pairs of sequences or sequence collections.
Baker DN, Langmead B.
europepmc   +2 more sources

AniFaceDrawing: Anime Portrait Exploration during Your Sketching [PDF]

open access: yesInternational Conference on Computer Graphics and Interactive Techniques, 2023
This paper focuses on how artificial intelligence (AI) can be used to assist general users in the creation of professional portraits, that is, consistently converting rough sketches into high-quality anime portraits during their sketching process.
Zhengyu Huang   +3 more
semanticscholar   +1 more source

Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets. [PDF]

open access: yesJ Comput Biol
Most sequence sketching methods work by selecting specific k-mers from sequences so that the similarity between two sequences can be estimated using only the sketches.
Marçais G, DeBlasio D, Kingsford C.
europepmc   +2 more sources

Krylov Subspace Recycling With Randomized Sketching For Matrix Functions [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2023
A Krylov subspace recycling method for the efficient evaluation of a sequence of matrix functions acting on a set of vectors is developed. The method improves over the recycling methods presented in [Burke et al., arXiv:2209.14163, 2022] in that it uses ...
Liam P Burke, S. Güttel
semanticscholar   +1 more source

Generative modeling via tensor train sketching [PDF]

open access: yesSocial Science Research Network, 2022
In this paper, we introduce a sketching algorithm for constructing a tensor train representation of a probability density from its samples. Our method deviates from the standard recursive SVD-based procedure for constructing a tensor train.
Y. Hur   +4 more
semanticscholar   +1 more source

Dashing 2: genomic sketching with multiplicities and locality-sensitive hashing

open access: yesbioRxiv, 2023
A genomic sketch is a small, probabilistic representation of the set of k-mers in a sequencing dataset. Sketches are building blocks for large-scale analyses that consider similarities between many pairs of sequences or sequence collections.
Daniel N. Baker, Ben Langmead
semanticscholar   +1 more source

Mining Discriminative K-Mers in DNA Sequences Using Sketches and Hardware Acceleration [PDF]

open access: yesIEEE Access, 2020
Extracting discriminative k-mers is an important and challenging problem in DNA sequence analysis with applications in metagenomics and motif discovery. Despite the availability of multiple computational tools designed for this purpose, most discriminative k-mer discovery methods suffer from long execution times and high memory usage when processing ...
Antonio Saavedra   +4 more
openaire   +2 more sources

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