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Shape-Variation
- 摘要: 研究了调节凸 B¨|zie 曲面、B-样条曲面及 NURBS 曲面(BBN 曲面)一个控制点以后,曲面形状变化的规 律.通过将 BBN 曲面分解成一张凸曲面与具有特殊形状曲面的叠加,建立了曲面变形前后一些几何量与变形位 移量之间的数量关系,得到了凸BBN曲面失去凸性的充分条件和判据.相应的结果可应用于调节与控制BBN曲 面形状的算法设计. -Abstract: The regulation convex B ¨ | zie surface, B-spline surfaces
drtoolbox2.5-and-readme
- 张量工具箱，提供张量分解等功能，附上安装说明文件，经测试很好用。-tensor decomposition and install readme
nway320
- 张量分解程序，支持平行因子分解模型和TUCKER分解模型-Tensor decomposition process, and support for parallel factorization model and TUCKER decomposition model
CMTF_Toolbox_v1_0
- CMTF工具箱包含了耦合矩阵和张量矩阵的分解的matlab编码-Coupled Matrix and Tensor Factorization for Matlab
sign_flip_0
- 解标志模糊的奇异值分解和多路张量模型,用Matlab代码编写.-Resolving the Sign Ambiguity in the Singular Value Decomposition and multi-way tensor models
tensor_toolbox_2.6.tar
- 最新的张量分析工具箱，版本2.6,可进行高阶奇异值分解(HOSVD).-Tensor Toolbox (Sandia National Labs) Version 2.6 06-FEB-2015 Tensor Toolbox for dense, sparse, and decomposed n-way arrays
张量分解工具箱最新版
- 最新版本的张量工具箱，可用于张量分解，特征值计算，数据挖掘，压缩感知，图像处理等
hosvd
- 一个很好的matlab源代码——HOSVD，HOSVD算法是通过对张量进行Tucker decomposition后，找出其tensor core,最后对其进行SVD分解。-A good matlab source code SVD, HOSVD algorithm is passed on tensor Tucker decomposition, find out the tensor core, and finally its SVD decomposition.
NTF_CP_ERP-Tensor-TFR
- 本软件可用来计算ERP的张量分解张量是多路数据数组。ERP张量在这里包括四个模式：时间、频率、空间和主题。-Note: Tensor is multi-way data array.ERP tensor here includes four modes of time, frequency, space and subject.
ADMM_ALL
- 张量分解在推荐系统中有重要作用，代码实现张量的CP分解,用ADMM算法实现(We design an algorithm based on the Alternating Direction Method of Multipliers (ADM- M) technique. Experiments on real-world datasets find that the proposed model outperforms traditional methods.)
Untitled3
- 基于张量Tucker分解的数据修复算法,能对缺失数据修复(Data repair algorithm based on tensor decomposition)
91331967tensor_toolbox_2.1
- 高阶信号分析工具箱，完成高阶信号的加、减、乘、除、矩阵分解等操作(High order signal analysis toolbox to complete the operation of adding, subtraction, multiplication, division, matrix decomposition of high order signals)
tensor1
- 一种张量分解的算法，应用于盲源分离和机器学习。(An algorithm for tensor decomposition)
Tensor Sensing
- 对tenor张量进行补全并最小化范数，得到tensor的分解形式(ADMM Complementing the tenor tensors and minimizing the norm, we get the decomposition form of tensor.)