Results 221 to 230 of about 110,162 (274)
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Audio signal deblurring using singular value decomposition (SVD)
2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), 2017Deblurring is the process of removing blurring artifacts from signals, such as blur caused by noise, defocus aberration or motion blur. Blind Convolution for signal separation is an area of research in the field of signal processing from last few decades.
Nilesh M. Patil, Milind U. Nemade
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SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
International Conference on Learning RepresentationsThe advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitates LLM compression methods for practical deployment.
Xin Wang +3 more
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Optical image encryption based on biometric keys and singular value decomposition.
Applied Optics, 2020We propose an asymmetric optical image cryptosystem based on biometric keys and singular value decomposition (SVD) in the Fresnel transform domain. In the proposed cryptosystem, the biometric keys are palmprint phase mask generated by a palmprint, a ...
Shan Tao, Chen Tang, Yuxin Shen, Z. Lei
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ECG steganography based on tunable Q‐factor wavelet transform and singular value decomposition
International journal of imaging systems and technology (Print), 2020The article presents a novel ECG steganography scheme based on the tunable Q‐factor wavelet transformation (TQWT) and also singular value decomposition (SVD) techniques that ensure better safety and confidentiality of patient information.
P. Mathivanan, A. Ganesh
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Evaluation of Singular Value Decomposition (SVD) Enhanced Upscaling in Reservoir Simulation
Volume 11: Petroleum Technology, 2020Abstract Reservoir upscaling is an important step in reservoir modeling for converting highly detailed geological models to simulation grids. It substitutes a heterogeneous model that consists of high-resolution fine grid cells with a lower resolution reduced-dimension homogeneous model using averaging schemes.
Mayank Tyagi, Xu Zhou
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SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
North American Chapter of the Association for Computational LinguisticsDespite significant advancements, the practical deployment of Large Language Models (LLMs) is often hampered by their immense sizes, highlighting the need for effective compression techniques.
Xin Wang +4 more
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On Properties and Structure of the Analytic Singular Value Decomposition
IEEE Transactions on Signal ProcessingWe investigate the singular value decomposition (SVD) of a rectangular matrix $\boldsymbol{\mathit{A}}(z)$ of functions that are analytic on an annulus that includes at least the unit circle.
Stephan Weiss +4 more
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Self-supervised Knowledge Distillation Using Singular Value Decomposition
European Conference on Computer Vision, 2018To solve deep neural network (DNN)’s huge training dataset and its high computation issue, so-called teacher-student (T-S) DNN which transfers the knowledge of T-DNN to S-DNN has been proposed.
Seunghyun Lee, D. Kim, B. Song
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Analysis of CATA data by Singular Value Decomposition (SVD)
2022_ Data by CATA (Check-All-That-Apply) method was analyzed by SVD (Singular Value Decomposition). SVD extracts row and column informations of the cross table of CATA data. An example of SVD of a cross table, which is made of kinds of rice, column variables, and of questions, row variables, produced interesting results.
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Singular Value Decomposition (SVD)-Based Video Watermarking
2018This chapter presents using singular value decomposition (SVD)-based video watermarking approaches. The experimental results of these approaches are also demonstrated in this chapter.
Ashish M. Kothari +2 more
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