Results 11 to 20 of about 32,583 (268)

Binarized graph neural network [PDF]

World Wide Web, 2021
Recently, there have been some breakthroughs in graph analysis by applying the graph neural networks (GNNs) following a neighborhood aggregation scheme, which demonstrate outstanding performance in many tasks. However, we observe that the parameters of the network and the embedding of nodes are represented in real-valued matrices in existing GNN-based ...
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin   +6 more
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Neuromorphic Binarized Polariton Networks [PDF]

Nano Letters, 2021
The rapid development of artificial neural networks and applied artificial intelligence has led to many applications. However, current software implementation of neural networks is severely limited in terms of performance and energy efficiency. It is believed that further progress requires the development of neuromorphic systems, in which hardware ...
Rafał Mirek, Andrzej Opala, Paolo Comaron, Magdalena Furman, Mateusz Król, Krzysztof Tyszka, Bartłomiej Seredyński, Dario Ballarini, Daniele Sanvitto, Timothy C. H. Liew, Wojciech Pacuski, Jan Suffczyński, Jacek Szczytko, Michał Matuszewski, Barbara Piętka   +14 more
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η Carinae: Binarity Confirmed [PDF]

The Astrophysical Journal, 2000
13 pages, accepted by ApJ Letters (January 2000)
Damineli, Augusto, Kaufer, Andreas, Wolf, Bernhard, Stahl, Otmar, Lopes, Dalton F., de Araujo, Francisco X.   +5 more
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Parity polytopes and binarization [PDF]

Discrete Applied Mathematics, 2020
We consider generalizations of parity polytopes whose variables, in addition to a parity constraint, satisfy certain ordering constraints. More precisely, the variable domain is partitioned into $k$ contiguous groups, and within each group, we require that $x_i \geq x_{i+1}$ for all relevant $i$.
Dominik Ermel, Matthias Walter
openaire   +2 more sources

Efficient multiscale Sauvola’s binarization [PDF]

International Journal on Document Analysis and Recognition (IJDAR), 2013
This work focuses on the most commonly used binarization method: Sauvola's. It performs relatively well on classical documents, however, three main defects remain: the window parameter of Sauvola's formula does not fit automatically to the contents, it is not robust to low contrasts, and it is not invariant with respect to contrast inversion.
Lazzara, Guillaume, Géraud, Thierry
openaire   +2 more sources

Binarization, synchronous binarization, and target-side binarization [PDF]

Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation - SSST '07, 2007
Binarization is essential for achieving polynomial time complexities in parsing and syntax-based machine translation. This paper presents a new binarization scheme, target-side binarization, and compares it with source-side and synchronous binarizations on both string-based and tree-based systems using synchronous grammars.
openaire   +1 more source

Binarized Support Vector Machines [PDF]

INFORMS Journal on Computing, 2010
The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Romero Morales, Dolores, Martin-Barragan, Belen, Carrizosa, Emilio   +2 more
openaire   +7 more sources

Paradigm of tunable clustering using binarization of consensus partition matrices (Bi-CoPaM) for gene discovery [PDF]

, 2013
Copyright @ 2013 Abu-Jamous et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and ...
A Strehl, A Weingessel, Asoke K. Nandi, B Abu-Jamous, B Abu-Jamous, B Fischer, Basel Abu-Jamous, D Greene, D Liu, D Stuart, David J. Roberts, E Dimitriadou, E Dimitriadou, FD Gibbons, HG Ayad, JM Pena, K Tumer, KY Yeung, LP Zhao, MBH Rhouma, N Slonim, O Nwamadi, PT Spellman, R Avogadri, R BabusÏka, R Baumgartner, R Fa, R Nilsson, RJ Cho, Rui Fa, S Dudoit, S Haykin, S Vega-Pons, S Vega-Pons, SA Salem, Shyamal D. Peddada, T Pramila, TE Kohonen, X Zhou, Z Yu   +39 more
core   +3 more sources

A joint study of deep learning-based methods for identity document image binarization and its influence on attribute recognition

Компьютерная оптика, 2023
Text recognition has benefited considerably from deep learning research, as well as the preprocessing methods included in its workflow. Identity documents are critical in the field of document analysis and should be thoroughly researched in relation to ...
R. Sánchez-Rivero, P.V. Bezmaternykh, A.V. Gayer, A. Morales-González, F. José Silva-Mata, K.B. Bulatov   +5 more
doaj   +1 more source

Binarity and Stellar Evolution [PDF]

Proceedings of the International Astronomical Union, 2011
AbstractModels of stellar evolution constitute an extremely powerful, and for the most part apparently very successful, tool for understanding the progression of a star through its lifetime as a fairly compact entity of incandescent gas. That success has led to stellar evolution theory becoming a crutch when an observer is faced with objects whose ...
Griffin, R. E. M., Rucinski, Slavek
openaire   +2 more sources