Singular Value
Singular Value Decomposition based Image Denoising
... ________________________________________________________________________________________________________ Abstract: Noise in image degrades the quality of the image. The aim of denoising is to reconstructing an original ...
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A Study On Dimension Reduction By Using Singular Value Decomposition
... Abstract : Singular value decomposition(SVD) plays a vital role in matrix transformation. It is the basis on which number of vector- based methods like Principal Component Analysis (PCA), Independent ...
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On the use of Multi-scale Singular Value Decomposition for OFDM Channel Estimation
... multi-scale singular value decomposition (MS-SVD), by combining the attractive properties of wavelet transform (WT) and singular value decomposition (SVD) has been utilized for OFDM channel ...
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Audio watermarking techniques using singular value decomposition
... the Singular Value Decomposition. If the singular values are relatively invariant under orthogonal changes to the signal matrix, it can be inferred that the change will then be reflected in the ...
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Improve De-Noising Based on Singular Value Decomposition
... (Lin Hu, et. al.) suggested a method of noise reduction based on singular value decomposition (SVD) applied to digital receiver front-end. To determine the optimal de-noising order, a new method is ...
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On Accelerated Singular Value Thresholding Algorithm for Matrix Completion
... Abstract An accelerated singular value thresholding SVT algorithm was introduced for matrix completion in a recent paper [1], which applies an adaptive line search scheme and improves th[r] ...
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Singular Value Decomposition for Feature Selection in Taxonomy Learning
... In this paper, we want to study how to improve performances of taxonomy learning methods by using feature selection. We focus on the probabilistic taxon- omy learning model introduced by [27] as it uses ex- isting ...
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Privacy-Preserving Decentralised Singular Value Decomposition
... In this paper, we are interested in how to perform Singular Value Decomposi- tion (SVD) based on data from decentralized IoT devices. In machine learning and data mining, SVD is a powerful and fundamental ...
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Singular Value Inequalities for Compact Normal Operators
... Remark 3. We note that the right hand side of the ine- quality (2.6) is the same as the inequality (1.6), but the left hand side of the inequalities (1.6) and (2.6) says that the singular value of the ...
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Image Compression Using Singular Value Decomposition
... the value of k ...of singular values). Through this image compression using Singular value decomposition, we can reduce the size of the image without the loss of clarity and can save ...
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Text Encryption Based on Singular Value Decomposition
... for image encryption is presented in this paper. The proposed algorithm based on using singular value decomposition SVD. In this Paper we start to scramble the image data according to suggest keys (two ...
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More Results on Singular Value Inequalities for Compact Operators
... More Results on Singular Value Inequalities for Compact Operators Wasim Audeh Department of Basic Sciences, Petra University, Amman, Jordan Email: [email protected] Received July 2, 2013[r] ...
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Significant Sentence Extraction by Euclidean Distance Based on Singular Value Decomposition
... In this paper, we propose a new summarization approach by both princi- pal component analysis (PCA) and singular value decomposition (SVD) that are called quantification methods or statistical analysis ...
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Singular value decomposition and its applications
... Hence we have found a way of ccmputing J such that M = M, the matrix that w0uld be generated by the QR algorithm if we had used it on M. We now generate the sequence by repeating the process, resetting J to J, and ...
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H Singular Value of a Positive Tensor
... [10]. Singular values of rectangular tensors have been introduced in ...of singular values of rectangular tensors have been ...to singular values of nonnega- tive rectangular ...largest ...
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Singular Value Decomposition & Few Application
... Abstract—Singular Value Decomposition (SVD) is a tool for teaching linear algebra geomatrically. In Linear algebra SVD is very usefulin many cases in problem solving. Some of the applications of SVD ...
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Jaccard with Singular Value Decomposition Hybrid Recommendation Algorithm
... Singular value decomposition has an advantage, which allows the existence of a simplified approximation ...K singular value, the other with 0 to ...
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Feature Selection by Singular Value Decomposition for Reinforcement Learning
... Perhaps the best-known method for feature construction is the technique of proto-value func- tions (Mahadevan & Maggioni, 2006, 2007). Proto-value functions are closely related to spectral ...
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Singular Value Decomposition for High Dimensional Data
... the singular vectors are nearly mutually exclusive: if one coordinate in a singular vector is non-zero, most corresponding coordinates in the other singular vectors are ...
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Singular value computations on the AP1000 array computer
... For the cases of large number of columns stored per processor, this method gave 2-10% improvement in the execution time over the two column rotation used in the partitioned, rectangular [r] ...
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