Results 131 to 140 of about 335,663 (179)
Enhancing quantum audio watermarking security through joint verification and certification. [PDF]
Sci RepXing Z, Lam CT, Yuan X.
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REPEL - Random Embedding Perturbation for Enhanced Learning of Protein Function. [PDF]
Pac Symp BiocomputZhou D, Cowen LJ, Wu K, Hu X, Slonim DK.
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An algorithmic system for arabic fake news detection using neural networks and transformer embeddings with class weighting. [PDF]
Sci RepSaad M, Abdelrazek S, Abdelmaksoud IR.
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Enhancing adversarial resilience in semantic caching for secure retrieval augmented generation systems. [PDF]
Sci RepAfiffy M, Fakhr MW, Maghraby FA.
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A unified framework for robust 3D watermarking based on feature integration. [PDF]
Sci RepHu J, Dai M, Liang T, Xie Q, Wang X.
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Capacity-Limited Failure in Approximate Nearest Neighbor Search on Image Embedding Spaces. [PDF]
J ImagingCooper MR, Busch M.
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2012 IEEE Conference on Prognostics and Health Management, 2012
Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM into industry, is to use embedded microprocessors to perform PHM analysis. Embedded PHM is challenging in that micro-controllers have limited processing power and memory.
Eric Bechhoefer, Austin Fang
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Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM into industry, is to use embedded microprocessors to perform PHM analysis. Embedded PHM is challenging in that micro-controllers have limited processing power and memory.
Eric Bechhoefer, Austin Fang
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A Suboptimal Embedding Algorithm for Binary Matrix Embedding
2012 International Symposium on Computer, Consumer and Control, 2012A novel sub optimal hiding algorithm for binary data based on iterative searching embedding, ISE, is proposed. In most cases, an ML algorithm is criticized for being extremely sensitive to the dimension (n-m), due to the fact that the operation complexity varies exponentially with (n-m).
Jyun-Jie Wang +3 more
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Improved algorithms for optimal embeddings
ACM Transactions on Algorithms, 2008In the last decade, the notion of metric embeddings with small distortion has received wide attention in the literature, with applications in combinatorial optimization, discrete mathematics, and bio-informatics. The notion of embedding is, given two metric spaces on the same number of points, to find a bijection that minimizes maximum Lipschitz and bi-
Nishanth Chandran +5 more
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