Results 1 to 10 of about 112,606 (117)
Self-Embedding Fragile Watermarking Scheme to Detect Image Tampering Using AMBTC and OPAP Approaches
Applied 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
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Jurnal 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
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Embedding Self-Evaluation in School Routines
SAGE 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
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JONNEE: Joint Network Nodes and Edges Embedding
IEEE 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
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Embedding Imputation With Self-Supervised Graph Neural Networks
IEEE Access, 2023 Embedding learning is essential in various research areas, especially in natural language processing (NLP). However, given the nature of unstructured data and word frequency distribution, general pre-trained embeddings, such as word2vec and GloVe, are ...
Uras Varolgunes +3 more
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Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data
Mathematics, 2022 Writer recognition based on a small amount of handwritten text is one of the most challenging deep learning problems because of the implicit characteristics of handwriting styles.
Zabir Mohammad +4 more
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Self-embedding and complexity in oral registers
Glossa, 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
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Deep self-supervised clustering with embedding adjacent graph features
Systems Science & Control Engineering, 2022 Deep clustering uses neural networks to learn the low-dimensional feature representations suitable for clustering tasks. Numerous studies have shown that learning embedded features and defining the clustering loss properly contribute to better ...
Xiao Jiang +4 more
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Heuristic Attention Representation Learning for Self-Supervised Pretraining
Sensors, 2022 Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space.
Van Nhiem Tran +3 more
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Electronic Journal of Graph Theory and Applications, 2017 A proper embedding of a graph G in a pseudosurface P is an embedding in which the regions of the complement of G in P are homeomorphic to discs and a vertex of G appears at each pinchpoint in P; we say that a proper embedding of G in P is self dual if ...
Steven Schluchter, J. Z. Schroeder
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