Results 11 to 20 of about 3,241,555 (307)
Self-embedding indexed grammars
Theoretical Computer Science, 1986 The notion `self-embedding' is defined for (right-linear, linear) indexed grammars and languages, and it is shown that non self-embedding (right- linear, linear) indexed languages are exactly the (right-linear, linear) context-free languages.
Rainer Parchmann, Jürgen Duske
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Embedding Imputation With Self-Supervised Graph Neural Networks
IEEE Access, 2023 Embedding learning is essential in various research areas, especially in natural language processing (NLP). However, given the nature of unstructured data and word frequency distribution, general pre-trained embeddings, such as word2vec and GloVe, are ...
Uras Varolgunes +3 more
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Temporal self-attention network for medical concept embedding [PDF]
, 2019 © 2019 IEEE. In longitudinal electronic health records (EHRs), the event records of a patient are distributed over a long period of time and the temporal relations between the events reflect sufficient domain knowledge to benefit prediction tasks such as
Shen, Tao +17 more
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Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data
Mathematics, 2022 Writer recognition based on a small amount of handwritten text is one of the most challenging deep learning problems because of the implicit characteristics of handwriting styles.
Zabir Mohammad +4 more
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Heuristic Attention Representation Learning for Self-Supervised Pretraining
Sensors, 2022 Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space.
Van Nhiem Tran +3 more
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Self-embeddings of Kleinian groups [PDF]
Annales Scientifiques de l’École Normale Supérieure, 1998 The authors give sufficient conditions for a geometrically finite Kleinian group \(G\) acting in the hyperbolic space \({\mathbf H}^n\) to have a co-Hopf property, i.e. not to contain non-trivial proper subgroup isomorphic to itself. The main result of the article is the following.
Ohshika, Ken'ichi, Potyagailo, Leonid
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Deep self-supervised clustering with embedding adjacent graph features
Systems Science & Control Engineering, 2022 Deep clustering uses neural networks to learn the low-dimensional feature representations suitable for clustering tasks. Numerous studies have shown that learning embedded features and defining the clustering loss properly contribute to better ...
Xiao Jiang +4 more
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Reversible watermarking scheme with image-independent embedding capacity [PDF]
, 2005 Permanent distortion is one of the main drawbacks of all the irreversible watermarking schemes. Attempts to recover the original signal after the signal passing the authentication process are being made starting just a few years ago. Some common problems,
C.-T. Li, Li, Chang-Tsun
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Electronic Journal of Graph Theory and Applications, 2017 A proper embedding of a graph G in a pseudosurface P is an embedding in which the regions of the complement of G in P are homeomorphic to discs and a vertex of G appears at each pinchpoint in P; we say that a proper embedding of G in P is self dual if ...
Steven Schluchter, J. Z. Schroeder
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Donor DNA: Embedding self-regulation into blood donation culture [PDF]
Hematology, Transfusion and Cell TherapyDr RishiRaj Sinha
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