Video steganography: A review
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.091
Abstract: Abstract Video steganography is becoming an important research area in various data hiding technologies, which has become a promising tool because not only the security requirement of secret message transmission is becoming stricter but also… read more here.
Keywords: steganography review; video; embedding methods; video steganography ... See more keywords
Embedding Methods for Quantum Chemistry: Applications from Materials to Life Sciences.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.9b10780
Abstract: Quantum mechanical embedding methods hold the promise to transform not just the way calculations are performed, but to significantly reduce computational costs and improve scaling for macro molecular systems containing hundreds if not thousands of… read more here.
Keywords: life sciences; embedding methods; chemistry; materials life ... See more keywords
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology.
Sign Up to like & getrecommendations! Published in 2023 at "Chaos"
DOI: 10.1063/5.0137223
Abstract: Delay embedding methods are a staple tool in the field of time series analysis and prediction. However, the selection of embedding parameters can have a big impact on the resulting analysis. This has led to… read more here.
Keywords: time; selecting embedding; embedding methods; method ... See more keywords
Learning Adaptive Node Embeddings Across Graphs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3160211
Abstract: Recently, learning embeddings of nodes in graphs has attracted increasing research attention. There are two main kinds of graph embedding methods, i.e., transductive embedding methods and inductive embedding methods. The former focuses on directly optimizing… read more here.
Keywords: across graphs; node embeddings; adaptive node; graph ... See more keywords
Estimation of perceptual scales using ordinal embedding
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Vision"
DOI: 10.1167/jov.20.9.14
Abstract: In this article, we address the problem of measuring and analyzing sensation, the subjective magnitude of one's experience. We do this in the context of the method of triads: The sensation of the stimulus is… read more here.
Keywords: using ordinal; embedding methods; psychophysics; perceptual scales ... See more keywords
Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220606
Abstract: In health sciences, high-quality text embeddings may augment qualitative data analysis of large amounts of text by enabling, e.g., searching and clustering of health information. This study aimed to evaluate three different sentence-level embedding methods… read more here.
Keywords: nursing sentences; sentences comparing; sentence; embedding methods ... See more keywords
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2017.00014
Abstract: An exciting avenue of neuroscientific research involves quantifying the time-varying properties of functional connectivity networks. As a result, many methods have been proposed to estimate the dynamic properties of such networks. However, one of the… read more here.
Keywords: graph embedding; time varying; embedding methods; connectivity networks ... See more keywords
On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app11010162
Abstract: One of the important tasks in a graph is to compute the similarity between two nodes; link-based similarity measures (in short, similarity measures) are well-known and conventional techniques for this task that exploit the relations… read more here.
Keywords: computation nodes; similarity; similarity computation; embedding methods ... See more keywords