Results 11 to 20 of about 33,048 (289)

Parity polytopes and binarization [PDF]

open access: yesDiscrete 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

Binarized graph neural network [PDF]

open access: yesWorld 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 0001   +6 more
openaire   +2 more sources

Binarity and Stellar Evolution [PDF]

open access: yesProceedings 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

Efficient multiscale Sauvola’s binarization [PDF]

open access: yesInternational 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.
Guillaume Lazzara, Thierry Géraud
openaire   +2 more sources

Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation [PDF]

open access: yesIEEE Access, 2021
Recently, semantic segmentation based on deep neural network (DNN) has attracted attention as it exhibits high accuracy, and many studies have been conducted on this. However, DNN-based segmentation studies focused mainly on improving accuracy, thus greatly increasing the computational demand and memory footprint of the segmentation network.
Hyunwoo Kim   +4 more
openaire   +2 more sources

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

open access: yesProceedings 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   +2 more sources

Image Enhancement with Statistical Estimation [PDF]

open access: yes, 2012
Contrast enhancement is an important area of research for the image analysis. Over the decade, the researcher worked on this domain to develop an efficient and adequate algorithm.
Kanrar, Soumen, Mukherjee, Aroop
core   +1 more source

η Carinae: Binarity Confirmed [PDF]

open access: yesThe Astrophysical Journal, 2000
13 pages, accepted by ApJ Letters (January 2000)
Damineli, Augusto   +5 more
openaire   +3 more sources

Choroidal Vascularity Index and Choroidal Thickness Changes Following Renal Transplantation

open access: yesTürk Oftalmoloji Dergisi, 2023
Objectives:This study aimed to evaluate changes in subfoveal choroidal thickness (SFCT), choroidal vascularity index (CVI), estimated glomerular filtration rate (GFR), mean arterial pressure (MAP), and intraocular pressure (IOP) after renal ...
Mustafa Aksoy   +5 more
doaj   +1 more source

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

open access: yesКомпьютерная 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   +5 more
doaj   +1 more source

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