Results 1 to 10 of about 789,685 (173)
On Base and Turyn Sequences [PDF]
Base sequences of lengths n + 1 n + 1 , n + 1 n + 1 , n, n are constructed for all decompositions of 4 n + 2 4n + 2 into four squares for n = 19 , … , 24 n = 19 ...
KOUKOUVINOS, C+2 more
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Hierarchical Phrase-Based Sequence-to-Sequence Learning
We describe a neural transducer that maintains the flexibility of standard sequence-to-sequence (seq2seq) models while incorporating hierarchical phrases as a source of inductive bias during training and as explicit constraints during inference. Our approach trains two models: a discriminative parser based on a bracketing transduction grammar whose ...
Wang, Bailin+3 more
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A Comparison of a Transition-based and a Sequence-based Analysis of AOI Transition Sequences [PDF]
Several visual analytics (VA) systems are used for analyzing eye-tracking data because they synergize human-in-the-loop exploration with speed and accuracy of the computer. In the VA systems, the choices of visualization techniques could afford discovering certain types of insights while hindering others.
Yang, Chia-Kai+2 more
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Kernel based Dirichlet sequences
Let $X=(X_1,X_2,\ldots)$ be a sequence of random variables with values in a standard space $(S,\mathcal{B})$. Suppose \begin{gather*} X_1\simν\quad\text{and}\quad P\bigl(X_{n+1}\in\cdot\mid X_1,\ldots,X_n\bigr)=\frac{θν(\cdot)+\sum_{i=1}^nK(X_i)(\cdot)}{n+θ}\quad\quad\text{a.s.} \end{gather*} where $θ>0$ is a constant, $ν$ a probability measure on $\
Berti Patrizia+4 more
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Reference-Based Sequence Classification [PDF]
Sequence classification is an important data mining task in many real world applications. Over the past few decades, many sequence classification methods have been proposed from different aspects. In particular, the pattern-based method is one of the most important and widely studied sequence classification methods in the literature.
Zengyou He+4 more
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Sequence-Based Anytime Control [PDF]
We present two related anytime algorithms for control of nonlinear systems when the processing resources available are time-varying. The basic idea is to calculate tentative control input sequences for as many time steps into the future as allowed by the available processing resources at every time step.
Quevedo, Daniel E., Gupta, Vijay
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Sequence-Based Linkage Analysis [PDF]
The rapid decrease in the cost of DNA sequencing will enable its use for novel applications. Here, we investigate the use of DNA sequencing for simultaneous discovery and genotyping of polymorphisms in family linkage studies. In the proposed approach, short contiguous segments of genomic DNA, regularly spaced across the genome, are resequenced in each ...
Dana P. Carrington+7 more
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Feature-Based Sequence-to-Sequence Matching [PDF]
This paper studies the problem of matching two unsynchronized video sequences of the same dynamic scene, recorded by different stationary uncalibrated video cameras. The matching is done both in time and in space, where the spatial matching can be modeled by a homography (for 2D scenarios) or by a fundamental matrix (for 3D scenarios).
Denis Simakov, Michal Irani, Yaron Caspi
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Contact-based sequence alignment [PDF]
This paper introduces the novel method of contact-based protein sequence alignment, where structural information in the form of contact mutation probabilities is incorporated into an alignment routine using contact-mutation matrices (CAO: Contact Accepted mutatiOn).
Kuang Lin+3 more
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SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping [PDF]
A critical step of genome sequence analysis is the mapping of sequenced DNA fragments (i.e., reads) collected from an individual to a known linear reference genome sequence (i.e., sequence-to-sequence mapping). Recent works replace the linear reference sequence with a graph-based representation of the reference genome, which captures the genetic ...
arxiv +1 more source