Gillis, NicolasShitov, YaroslavLinear Algebra and its ApplicationsGillis, N.; Shitov, Y. Low-rank Matrix Approximation in the Infinity Norm, arXiv:1706.00078N. Gillis and Y. Shitov, Low-Rank Matrix Approximation in the Infinity Norm, preprint, https:// arxiv.org/abs/1706.00078, 2017....
【论文标题】Local Low-Rank Matrix Approximation(icml_2013 ) 【论文作者】Joonseok Lee,Seungyeon Kim,Guy Lebanon,Yoram Singer 【论文链接】Paper(9-pages // Double column) 【摘要】 矩阵近似是推荐系统、文本挖掘和计算机视觉的常用工具。构造矩阵近似的一个普遍假设是,部分观察到的矩阵是低秩的。我们提出了...
As a technology for obtaining low rank denotation of extremely large matrix, Low-Rank Approximation plays an important role in many fields such as pattern recognition, machine learning and data mining. 低秩逼近是一种寻求大规摸矩阵的低秩近似表示技术,在模式识别,机器学习和数据挖掘等领域有着广泛的应...
We propose a new matrix approximation model where we assume instead that the matrix is only locally of low-rank, leading to a representation of the observed matrix as a weighted sum of low-rank matrices. We analyze the accuracy of the proposed local low-rank modeling. Our experiments show ...
Low-rank matrix approximation (LRMA) is a powerful technique for signal processing and pattern analysis. However, its potential for data compression has not yet been fully investigated in the literature. In this paper, we propose sparse low-rank matrix approximation (SLRMA), an effective computatio...
Local Low-Rank Matrix Approximation - The Analysis of …:当地的低秩矩阵的近似分析…of,当地,低秩,Local,the,矩阵低秩,低秩矩阵,Low,Rank,反馈意见 文档格式: .pdf 文档大小: 578.44K 文档页数: 9页 顶/踩数: 0/0 收藏人数: 0 评论次数:
(2)提出了一个inference algorithm (S2.B),这是一个low-rank approximation algorithm。 输入: , 其中m是task的数量,n是worker的数量,这个矩阵表示worker提供的答案的情况. 输出: , 推断得到的问题的结果("unobserved solution vector") (3)然后,将上述两部分内容结合起来,提出了Budget-optimal Crowdsourcing算法(...
Sparse Principal Component Analysis via Regularized Low Rank Matrix Approximation(Adjusted Variance) 在这里插入图片描述 前言 这篇文章用的也是交替算法,不得不说,这个东西太好用了,变来变去怎么都能玩出花来。这篇论文的关键之处,我感觉是对adjusted variance的算法,比较让人信服。
Systems and methods for generating a low-rank approximation of a matrix are provided. The various systems and methods may identify at least a first set of right singular vectors and a first set of singular values of a subset of the matrix, reduce the subset by an amount of energy of a ...
在局部低秩矩阵近似算法(Local Low-Rank Matrix Approximation,LLORMA)的实现过程中,原本完整的训练数据集被划分为了多个局部数据集,导致训练数据集进一步稀疏,但是PMF... 马进 - 西安电子科技大学 被引量: 0发表: 0年 针对托攻击与自然噪声的鲁棒推荐算法研究 在局部低秩矩阵近似算法(Local Low-Rank Matrix Approxi...