Results 21 to 30 of about 150,538 (265)
A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume.
Yoshio Yamaguchi +6 more
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Improved ALS Online Recommendation Algorithm with Missing Data Modeling [PDF]
Implicit feedback has data noise and lacks negative feedback.When using matrix decomposition method to train recommendation model,the feature extraction is not clear and the recommendation result is skewed.Aiming at these problems,an improved Alternating
XING Yuying,XIA Hongbin,WANG Han.
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Some Combinatorial Results on the Factor Group K (G)
character matrix ( ) from the character table of and finding the invariant factors of this matrix, the primary decomposition of the factor group where is determined.
Manal Najy Yagoob, Ahmed Abed Ali Omran
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Structured Matrix Methods Computing the Greatest Common Divisor of Polynomials
This paper revisits the Bézout, Sylvester, and power-basis matrix representations of the greatest common divisor (GCD) of sets of several polynomials. Furthermore, the present work introduces the application of the QR decomposition with column pivoting ...
Christou Dimitrios +2 more
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Column-coherent matrix decomposition
AbstractMatrix decomposition is a widely used tool in machine learning with many applications such as dimension reduction or visualization. In this paper we consider decomposing X, a matrix of size $$n \times m$$ n × m , to a product WS ...
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Key agreement protocol in infinite semigroup representation level
Matrix decomposition problem over integer ring is presented. Solving methods are discussed and it is showed, that this problem is hard computational problem regard to computer memory resources.
Artūras Katvickis +2 more
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Mueller matrix differential decomposition [PDF]
We present a Mueller matrix decomposition based on the differential formulation of the Mueller calculus. The differential Mueller matrix is obtained from the macroscopic matrix through an eigenanalysis. It is subsequently resolved into the complete set of 16 differential matrices that correspond to the basic types of optical behavior for depolarizing ...
Ortega-Quijano, Noé +1 more
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Parallel Cholesky Decomposition and Its Application Based on GPU [PDF]
In the clMAGMA library of OpenCL parallel computing framework,the large size block parallel method is used in the Cholesky decomposition algorithm,which can not make full use of the high speed local memory of GPU,and there are many data transfers between
SHEN Yan,DAI Yuxing
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Sparse Matrix Decompositions For Clustering [PDF]
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
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Singular-Value-Decomposition-Based Matrix Surgery
This paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness.
Jehan Ghafuri, Sabah Jassim
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