Results 41 to 50 of about 427,913 (167)
A Pearson Based Feature Compressing Model for SNARE Protein Classification
IEEE Access, 2020 SNARE proteins are a group of proteins that drive the biological fusion of two membranes. It is important to identify them accurately, because malfunction of the SNARE proteins can lead to a lot of diseases.
Guilin Li
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Word Representation With Salient Features [PDF]
IEEE Access, 2019 Inspired from the idea that the contexts in which a word occurs are of different significance, this paper proposes a novel method, called word representation with Salient Features (SaFe), to represent words using salient features selected from the context words.
Ming Zhang +3 more
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Survey on Feature Representation and Similarity Measurement of Time Series
Jisuanji kexue yu tansuo, 2021 Time series is a group of random numbers which are composed of the values of the same index according to the time sequence. With the rapid development of science and technology, the application of time series in the field of data mining becomes more and ...
SUN Dongpu, QU Li
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Relative Age Position Learning for Face-Based Age Estimation
IEEE AccessThis study introduces the concept of relative age position learning to supplement the learning process for age estimation models. Drawing inspiration from feature recalibration modules that prioritize features based on their importance, a novel age-based
Sevara Amirullaeva, Ji-Hyeong Han
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Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods
Molecules, 2017 DNA-binding proteins play vital roles in cellular processes, such as DNA packaging, replication, transcription, regulation, and other DNA-associated activities.
Kaiyang Qu +4 more
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Prediction of lncRNA–Protein Interactions via the Multiple Information Integration
Frontiers in Bioengineering and Biotechnology, 2021 The long non-coding RNA (lncRNA)–protein interaction plays an important role in the post-transcriptional gene regulation, such as RNA splicing, translation, signaling, and the development of complex diseases.
Yifan Chen +5 more
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Auditory Filters, Features, and Redundant Representations [PDF]
Neuron, 2006 Responses in auditory cortex tend to be weaker, more phasic, and noisier than those of auditory brainstem and midbrain nuclei. Is the activity in cortex therefore merely a "degraded echo" of lower-level neural representations? In this issue of Neuron, Chechik and colleagues show that, while cortical responses indeed convey less sensory information than
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingFeature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han +6 more
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SLNER: Chinese Few-Shot Named Entity Recognition with Enhanced Span and Label Semantics
Applied Sciences, 2023 Few-shot named entity recognition requires sufficient prior knowledge to transfer valuable knowledge to the target domain with only a few labeled examples.
Zhe Ren, Xizhong Qin, Wensheng Ran
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A Self-Representation Weighted-Based Density Peaks Clustering Method
IEEE AccessThe approach to calculating density significantly impacts the clustering efficacy of the Density Peak Clustering (DPC) method, with various density calculation methods tailored for different datasets.
Qiangguo Yu +4 more
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