Results 1 to 10 of about 1,852 (112)

Self-embedding and complexity in oral registers

open access: yesGlossa, 2018
This article reports the results of a study on the self-embedding depth of nominal, verbal and clausal projections in spoken corpora of German. We compared two spoken registers featuring public and non-public (i.e.
Elisabeth Verhoeven, Nico Lehmann
doaj   +3 more sources

Self Embedding Watermarking Scheme Using Halftone Image

open access: yesIEICE Transactions on Information and Systems, 2008
Self embedding watermarking is a technique used for tamper detection, localization and recovery. This letter proposes a novel self embedding scheme, in which the halftone version of the host image is exploited as a watermark, instead of a JPEG-compressed version used in most existing methods.
Shu-Chuan Chu, Jeng-Shyang Pan
exaly   +3 more sources

Self-Embedding Fragile Watermarking Scheme to Detect Image Tampering Using AMBTC and OPAP Approaches

open access: yesApplied Sciences, 2021
Research on self-embedding watermarks is being actively conducted to solve personal privacy and copyright problems by image attack. In this paper, we propose a self-embedded watermarking technique based on Absolute Moment Block Truncation Coding (AMBTC ...
Cheonshik Kim, Ching-Nung Yang
doaj   +1 more source

INITIAL SELF-EMBEDDINGS OF MODELS OF SET THEORY [PDF]

open access: yesThe Journal of Symbolic Logic, 2021
AbstractBy a classical theorem of Harvey Friedman (1973), every countable nonstandard model $\mathcal {M}$ of a sufficiently strong fragment of ZF has a proper rank-initial self-embedding j, i.e., j is a self-embedding of $\mathcal {M}$ such that $j[\mathcal {M}]\subsetneq \mathcal {M}$ , and the ordinal rank of each member of $j[\mathcal {M ...
Ali Enayat, Zachiri McKenzie
openaire   +3 more sources

Point Set Self-Embedding

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2023
Accepted by IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2022. All resources can be found at https://liruihui.github.io/
Ruihui Li   +3 more
openaire   +3 more sources

Self-Embeddings of Computable Trees [PDF]

open access: yesNotre Dame Journal of Formal Logic, 2008
We divide the class of infinite computable trees into three types. For the first and second types, $0'$ computes a nontrivial self-embedding while for the third type $0''$ computes a nontrivial self-embedding. These results are optimal and we obtain partial results concerning the complexity of nontrivial self-embeddings of infinite computable trees ...
Stephen Binns   +4 more
openaire   +3 more sources

Sentiment Analysis of COVID-19 Vaccines in Indonesia on Twitter Using Pre-Trained and Self-Training Word Embeddings

open access: yesJurnal Ilmu Komputer dan Informasi, 2022
Sentiment analysis regarding the COVID-19 vaccine can be obtained from social media because users usually express their opinions through social media.
Kartikasari Kusuma Agustiningsih   +2 more
doaj   +1 more source

Embedding Self-Evaluation in School Routines

open access: yesSAGE Open, 2021
School self-evaluation (SSE) has emerged as a widely used approach to school evaluation in recent decades. This has occurred in the context of what is referred to as “New Public Management,” an element of which seeks to empower public institutions to ...
Gerry McNamara   +5 more
doaj   +1 more source

Self-embeddings of Bedford–McMullen carpets [PDF]

open access: yesErgodic Theory and Dynamical Systems, 2017
Let$F\subseteq \mathbb{R}^{2}$be a Bedford–McMullen carpet defined by multiplicatively independent exponents, and suppose that either$F$is not a product set, or it is a product set with marginals of dimension strictly between zero and one. We prove that any similarity$g$such that$g(F)\subseteq F$is an isometry composed of reflections about lines ...
Algom, Amir, Hochman, Michael
openaire   +3 more sources

JONNEE: Joint Network Nodes and Edges Embedding

open access: yesIEEE Access, 2021
Recently, graph embedding models significantly improved the quality of graph machine learning tasks, such as node classification and link prediction. In this work, we propose a model called JONNEE (JOint Network Nodes and Edges Embedding), which learns ...
Ilya Makarov   +2 more
doaj   +1 more source

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