Results 21 to 30 of about 525,882 (299)
Applied Sciences, 2023 In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data.
Youngki Park, Youhyun Shin
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Theoretical Computer Science, 2017 In this paper we study {\em terminal embeddings}, in which one is given a finite metric $(X,d_X)$ (or a graph $G=(V,E)$) and a subset $K \subseteq X$ of its points are designated as {\em terminals}. The objective is to embed the metric into a normed space, while approximately preserving all distances among pairs that contain a terminal.
Michael Elkin +2 more
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Universes and simulations: Civilizational development in nested embedding
Foundations of Computing and Decision Sciences, 2018 The rapid development of technology has allowed computer simulations to become routinely used in an increasing number of fields of science. These simulations become more and more realistic, and their energetic efficiency grows due to progress in computer
Komosinski Maciej
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Journal of Semantics, 2019 Abstract This paper presents a puzzle involving embedded attitude reports. We resolve the puzzle by arguing that attitude verbs take restricted readings: in some environments the denotation of attitude verbs can be restricted by a given proposition.
Blumberg, Kyle, Holguín, Ben
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Hoehnea, 2019 Glycol methacrylate resin is a very convenient medium used for inclusions of various types of tissue for histological and cytological studies. It provides excellent mechanical support in the sectioning of samples, even the ones with big differences in ...
Carlos André Espolador Leitão
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Attention-Aware Heterogeneous Graph Neural Network
Big Data Mining and Analytics, 2021 As a powerful tool for elucidating the embedding representation of graph-structured data, Graph Neural Networks (GNNs), which are a series of powerful tools built on homogeneous networks, have been widely used in various data mining tasks.
Jintao Zhang, Quan Xu
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Matching the LBO Eigenspace of Non-Rigid Shapes via High Order Statistics
Axioms, 2014 A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold describing the geometry of a shape into Euclidean space. Several methods have been proposed to embed isometric shapes into flat domains, while preserving the ...
Alon Shtern, Ron Kimmel
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Survey of Neural Text Representation Models
Information, 2020 In natural language processing, text needs to be transformed into a machine-readable representation before any processing. The quality of further natural language processing tasks greatly depends on the quality of those representations.
Karlo Babić +2 more
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LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization
IEEE Access, 2023 Numerous experiments have demonstrated that long non-coding RNA (lncRNA) play an important role in various systems of the human body. LncRNA deletions or mutations can cause human disease. The prediction of lncRNA-disease associations is conducive to the
Yue Liu +4 more
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Journal of the Korean Mathematical Society, 2013 For an orbifold, there is a notion of an orbifold embedding, which is more general than the one of sub-orbifolds. We develop several properties of orbifold embeddings. In the case of translation groupoids, we show that such a notion is equivalent to a strong equivariant immersion.
Cho, Cheol-Hyun +2 more
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