Results 1 to 10 of about 26,540 (300)
Improving node embedding by a compact neighborhood representation
Neural Computing and Applications, 2022 Graph Embedding, a learning paradigm that represents graph vertices, edges, and other semantic information about a graph into low dimensional vectors, has found wide applications in different machine learning tasks. In the past few years, we have had a plethora of methods centered on graph embedding using different techniques such as spectral ...
Hamida Seba +2 more
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Compact Speaker Embedding: lrx-Vector [PDF]
Interspeech 2020, 2020 Accepted to INTERSPEECH ...
Munir Georges +2 more
openaire +4 more sources
IEEE Access, 2020 In One-Class Classification (OCC) problems, the classifier is trained with samples of a class considered normal, such that exceptional patterns can be identified as anomalies. Indeed, for real-world problems, the representation of the normal class in the
Manasses Ribeiro +3 more
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A Compact Embedding for Facial Expression Similarity [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection. However, facial expressions do not always fall neatly into pre-defined semantic categories. Also, the similarity between expressions measured in the action unit space need not correspond to how humans perceive ...
Aseem Agarwala
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A Compact Embedding for Sequence Spaces
Missouri Journal of Mathematical Sciences, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly +5 more sources
Global and Compact Video Context Embedding for Video Semantic Segmentation
IEEE AccessIntuitively, global video context could benefit video semantic segmentation (VSS) if it is designed to simultaneously model global temporal and spatial dependencies for a holistic understanding of the semantic scenes in a video clip.
Lei Sun +6 more
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The Caffarelli–Kohn–Nirenberg inequalities for radial functions
Comptes Rendus. Mathématique, 2023 We establish the full range of the Caffarelli–Kohn–Nirenberg inequalities for radial functions in the Sobolev and the fractional Sobolev spaces of order $0 < s \le 1$.
Mallick, Arka, Nguyen, Hoai-Minh
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Fast and Compact Planar Embeddings [PDF]
Computational Geometry, 2017 This research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Actions H2020-MSCA-RISE-2015 BIRDS GA No. 690941.
Leo Ferres +4 more
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Realistic anisotropic Karmarkar stars in Rastall gravitational framework
Results in Physics, 2021 In this study, we discuss the anisotropic matter distribution of compact stars in the context of Rastall modified theory of gravity by applying Karmarkar condition of embedding technique. For this purpose, we consider the spherical symmetric geometry and
M. Zubair +3 more
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Compact Sobolev-Slobodeckij embeddings and positive solutions to fractional Laplacian equations
Advances in Nonlinear Analysis, 2021 In this work, we study the existence of a positive solution to an elliptic equation involving the fractional Laplacian (−Δ)s in ℝn, for n ≥ 2, such ...
Han Qi
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