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Singular value decomposition

Known as: SVD, Singular-value decomposition, SV decomposition 
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix. It is the generalization of the… 
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Apache SparkBidiagonalizationBiplotCollaborative filtering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2005
2005
Critical Points of the Singular Value Decomposition
The singular value decomposition (SVD) is a factorization that is discontinuous on the subset of matrices having repeated… 
Highly Cited
2004
Highly Cited
2004
Frequency synchronization for generalized OFDMA uplink
In orthogonal frequency division multiple access (OFDMA), the total spectral resource is partitioned into multiple orthogonal… 
Highly Cited
2003
Highly Cited
2003
Ensemble Forecasts and the Properties of Flow-Dependent Analysis-Error Covariance Singular Vectors
Abstract Approximations to flow-dependent analysis-error covariance singular vectors (AEC SVs) were calculated in a dry, T31 L15… 
Highly Cited
2002
Highly Cited
2002
Wavelet-based corner detection technique using optimal scale
2000
2000
Face Identification Based on Singular Value Decomposition and Data Fusion
A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper. The singular… 
Highly Cited
1998
Highly Cited
1998
Second-order calibration: bilinear least squares regression and a simple alternative
1994
1994
Tomographic resolution without singular value decomposition
An explicit procedure is presented for computing both model and data resolution matrices within a Paige-Saunders LSQR algorithm… 
Highly Cited
1991
Highly Cited
1991
Protein relaxation dynamics in human myoglobin
1987
1987
Evaluation of Robot Force Sensor Structure Using Singular Value Decomposition
本論文では, ロボット力覚センサの構造評価について論ずる.まず, このセンサにおける力測定の原理を理解するための枠組みを与える.つぎに, その枠組みを踏まえた上で, センサの力測定誤差に着目しつつ, センサ構造の評価基準を導く.この誘導過程では, 数値解析の分野で一般的な特異値分解の手法を用い, 力覚センサ構造の数学特性を明らかにする.最後に, 本評価基準に基づき, 試作したいくつかの力覚センサについて評価, 解析, および比較を行う. 
Highly Cited
1983
Highly Cited
1983
Eigensystem properties of the sampled space correlation matrix
In the recent years, the resolving capability of passive array processing has been greatly improved by the so-called high… 
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