Search results for: neural embeddings

• Towards semantic-rich word embeddings

  Publication

  • G. Beringer
  • M. Jabłoński
  • P. Januszewski
  • A. Sobecki
  • J. Szymański

  - Annals of Computer Science and Information Systems - Year 2019

  In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...

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• Graph Vertex Embeddings: Distance, Regularization and Community Detection

  Publication

  • R. Nowak
  • A. Małkowski
  • D. Cieślak
  • P. Sokół
  • P. Wawrzyński

  - Year 2024

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• Open-Set Speaker Identification Using Closed-Set Pretrained Embeddings

  Publication

  • M. Affek
  • M. S. Tatara

  - Year 2022

  The paper proposes an approach for extending deep neural networks-based solutions to closed-set speaker identification toward the open-set problem. The idea is built on the characteristics of deep neural networks trained for the classification tasks, where there is a layer consisting of a set of deep features extracted from the analyzed inputs. By extracting this vector and performing anomaly detection against the set of known...

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• Bożena Kostek prof. dr hab. inż.

  People

  Laboratorium Akustyki Fonicznej

• Dirichlet-to-Neumann and Neumann-to-Dirichlet embedding methods for bound states of the Dirac equation

  Publication

  • S. Bielski
  • R. Szmytkowski

  - JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL - Year 2006

  Zaprezentowano uogólnienie formalizmu operatorów Dirichleta-Neumanna (DtN) i Neumanna-Dirichleta (NtD) na przypadek równania Diraca. Przedstawiono zastosowanie tego formalizmu do znajdowania poziomów energetycznych cząstki Diraca związanej w potencjale.

• Dirichlet-to-Neumann and Neumann-to-Dirichlet embedding methods for bound states of the Schrodinger equation.

  Publication

  • R. Szmytkowski
  • S. Bielski

  - Year 2004

  Przeformułowano metodę Inglesfielda, stosowaną do obliczania własności stanów związanych równania Schrodingera, stosując formalizm operatorów całkowych Dirichleta-do-Neumanna(DtN) i Neumanna-do-Dirichleta (NtD). Wykorzystano zasady wariacyjne dla energii dopuszczające użycie funkcji próbnych nieciągłych wraz z pochodnymi. Podano metodę konstrukcji jąder operatorów DtN i NtD za pomocą rozwiązań zagadnienia własnego typu Steklova....

• Silica In Silico: A Molecular Dynamics Characterization of the Early Stages of Protein Embedding for Atom Probe Tomography

  Publication

  • G. Novi Inverardi
  • F. Carnovale
  • L. Petrolli
  • S. Taioli
  • G. Lattanzi

  - BIOPHYSICAL JOURNAL - Year 2023

  A novel procedure for the application of atom probe tomography (APT) to the structural analysis of biological systems, has been recently proposed, whereby the specimen is embedded by a silica matrix and ablated by a pulsed laser source. Such a technique, requires that the silica primer be properly inert and bio-compatible, keeping the native structural features of the system at hand, while condensing into an amorphous, glass-like...

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• Neural Development

  Journals

  ISSN: 1749-8104

• NEURAL NETWORKS

  Journals

  ISSN: 0893-6080 , eISSN: 1879-2782

• Neural Computation

  Journals

  ISSN: 0899-7667 , eISSN: 1530-888X