Feature-Based Molecular Networking for Metabolite Annotation.
Sign Up to like & getrecommendations! Published in 2020 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0239-3_13
Abstract: The Global Natural Product Social Molecular Networking (GNPS) platform leverages tandem mass spectrometry (MS/MS) data for annotation of compounds. Molecular networks aid in the visualization of the chemical space within a metabolomics experiment. Recently, molecular… read more here.
Keywords: feature; annotation; based molecular; feature based ... See more keywords
Task-dependent effects of voluntary space-based and involuntary feature-based attention on visual working memory
Sign Up to like & getrecommendations! Published in 2019 at "Psychological Research"
DOI: 10.1007/s00426-019-01161-x
Abstract: Previous research has shown that visual working memory (VWM) can be modulated by space-based or feature-based attentional selection. However, it remains unclear how the two modes of attention operate jointly to affect VWM, and in… read more here.
Keywords: task; based attention; attention; feature based ... See more keywords
Multi-feature-based crowd video modeling for visual event detection
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DOI: 10.1007/s00530-020-00652-x
Abstract: We propose a novel method for modeling crowd video dynamics by adopting a two-stream convolutional architecture which incorporates spatial and temporal networks. Our proposed method cope with the key challenge of capturing the complementary information… read more here.
Keywords: video; proposed method; multi feature; crowd video ... See more keywords
Feature-based topology finding of patterns for shell structures
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DOI: 10.1016/j.autcon.2019.02.008
Abstract: Abstract This paper introduces topology finding of patterns for shell structures such as beam grids for gridshells or voussoir tessellations for vaults, among others. The authors refer to topology finding, by analogy and in complement… read more here.
Keywords: finding patterns; feature based; topology finding; patterns shell ... See more keywords
Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data
Sign Up to like & getrecommendations! Published in 2021 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2021.104399
Abstract: Abstract The computation of likelihood ratios (LR) to measure the weight of forensic glass evidence with LA-ICP-MS data directly in the feature space without computing any kind of score as an intermediate step is a… read more here.
Keywords: improving calibration; calibration; feature based; forensic glass ... See more keywords
Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects
Sign Up to like & getrecommendations! Published in 2020 at "Cognition"
DOI: 10.1016/j.cognition.2020.104425
Abstract: Most cognitive processes are studied using abstract or synthetic stimuli with specific features to fully control what is presented to subjects. However, recent studies have revealed enhancements of cognitive capacities (such as working memory) when… read more here.
Keywords: based learning; object based; naturalistic stimuli; abstract stimuli ... See more keywords
Functional specialization for feature-based and symmetry-based groupings in multiple object tracking
Sign Up to like & getrecommendations! Published in 2018 at "Cortex"
DOI: 10.1016/j.cortex.2018.09.005
Abstract: Our vision systems utilize attention to process dynamic visual information everyday. Multiple object tracking (MOT) is widely used for studying sustained attention in dynamic environments. Previous research reported inter-target grouping based on feature similarity (e.g.,… read more here.
Keywords: feature; based symmetry; symmetry based; based groupings ... See more keywords
Behavioral and electrophysiological evidence for a dissociation between working memory capacity and feature-based attention
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DOI: 10.1016/j.cortex.2020.04.009
Abstract: When attending to visual objects with particular features, neural processing is typically biased toward those features. Previous work has suggested that maintaining such feature-based attentional sets may involve the same neural resources as visual working… read more here.
Keywords: based attention; feature based; working memory; memory ... See more keywords
Feature based causality analysis and its applications in soft sensor modeling
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DOI: 10.1016/j.ifacol.2020.12.111
Abstract: Abstract In industrial processes, causality analysis plays an important role in fault detection and topology building. Aiming to attenuate the influence of common correlation and noise, a feature based causality analysis method is proposed. By… read more here.
Keywords: feature based; feature; causality analysis; causal factors ... See more keywords
Improving Featured-based Soft Sensing through Feature Selection
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DOI: 10.1016/j.ifacol.2020.12.542
Abstract: Abstract Driven by the expanding applications of spectroscopic technologies, many advancements have been reported for soft sensor modeling, which infers a sample’s properties from its spectroscopic readings. Because the number of wavelengths contained in a… read more here.
Keywords: feature based; based soft; soft sensing; soft sensor ... See more keywords
Feature-based attributes and the roles of consumers' perception bias and inference in choice
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Research in Marketing"
DOI: 10.1016/j.ijresmar.2018.12.003
Abstract: Abstract This paper considers decision contexts wherein consumers make choices among alternatives that contain a manifest feature-based attribute: i.e., a discrete, salient and important attribute that describes a dichotomous quality, such as “genetically modified”, “organic”,… read more here.
Keywords: inference; feature based; perception bias; bias inference ... See more keywords