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基于贝叶斯网络的半监督聚类集成模型
- 已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下的具体算法;第三,从UCI(University of Ca
ear5.rar
- IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别,Ear Recognition using Improved Non-Negative Matrix Factorization
MatrixFctorization
- Matrix factorization for recommender systems - used in Netflix prize-Matrix factorization for recommender systems- used in Netflix prize...
Textureandshapeinformationfusionforfacialexpressio
- 三维人脸识别的经典文章，也是三维人脸表情识别引用极多的文章，被模式识别杂志收录-Texture and shape information fusion for facial expression and facial action unit recognition Keywords: Facial expression recognition Facial Action Unit recognition Discriminant Non-Negative Matrix Factor
TherealizationofParallelLUfactorizationbasedonFPGA
- 本文首先介绍了稀疏矩阵的特点和研究稀疏矩阵分解的意义，接着讨论了稀疏矩阵各种快速算法并给出了本文所采用的方法。在此基础上详细说明了稀疏矩阵模拟排序算法，直接LU分解算法，符号LU分解算法，数值LU分解算法及这些算法在FPGA上的实现过程。最后为充分发挥FPGA作为一种可编程逻辑器件的优势，将单核数值LU分解扩展为多核并行LU分解结构，并使用BDB矩阵对该结构进行了验证，给出并分析了实验结果。-Firstly,the characteristies and research value of sp
main2
- 一个大电力系统潮流计算代码，采用PQ分解法，用因子表解法解修正方程-A large power system power flow calculation code, using PQ decomposition, factorization method with the modified equation solution
multidimensional-scaling
- 本文提出一种基于多维定标的无线传感器网络三维定位算法,结合RSS经验衰减模型和最短路径建立相异性矩阵,采用轻量级矩阵分解算法降低相异性矩阵分解的计算复杂性,并利用网络中存在的周期性消息将初始定位信息回送,在后台使用迭代优化算法对初始定位结果求精。仿真实验表明,在测距误差一定的情况下,该算法能够提高节点三维坐标的初始计算精度,经过集中式的优化求精后与MDS-MAP算法相比,能够明显地提高节点三维定位的精度-This paper presents a method based on multidim
LH
- Program designed to solve matrixes of n types, by the method LH factorization
Java-public-Factorization
- 利用Java编程实现了将一个整数的分解，将一个正整数分解质因数。 -Java programming to achieve the prime factors of an integer decomposition, a positive integer factorization.
tridiagLU.m
- LU factorization of tridiagonal matrix
classic-nmf
- 非负矩阵分解的最经典算法，1999发表在自然科学杂志上的那一篇文章的代码-classic Nonnegative matrix factorization
example14
- 题目：将一个正整数分解质因数。例如：输入90,打印出90=2*3*3*5。 程序分析：对n进行分解质因数，应先找到一个最小的质数k，然后按下述步骤完成： (1)如果这个质数恰等于n，则说明分解质因数的过程已经结束，打印出即可。 (2)如果n<>k，但n能被k整除，则应打印出k的值，并用n除以k的商,作为新的正整数你n, 重复执行第一步。 (3)如果n不能被k整除，则用k+1作为k的值,重复执行第一步。-Topic: the prime factors o
Feature-fusion-based-on-NMF-and-NSCT
- 一种基于非负矩阵分解和红外特征的图像融 合方法，实现源图像的目标区域和背景区域分别融合。-A proposal method based on non-negative factorization (NMF) and infrared feature is presented for infrared and visual images fusion, which fuses the target region and background respectively .
ICEIC2006_hybridarchitecture
- This paper proposes a hybrid architecture algorithm for fast computation of DCT and DFT via recursive factorization. Recursive factorization of DCT-II and DFT transform matrix leads to a similar architectural structure so that common architec
matrix-factorization-
- 基于对称矩阵分解理论的AR模型参数算法-Symmetric matrix factorization theory algorithm based on AR model parameters
CORDIC_Algorithms_and_architectures
- Digital signal processing (DSP) algorithms exhibit an increasing need for the e#cient implementation of complex arithmetic operations. The computation of trigonometric functions, coordinate transformations or rotations of complex valued phasors
Multi-Frame-Factorization-Techniques
- 此文章解释了matlab环境下一种程序，也提供了一种3d重构算法。-This article explains a procedure matlab environment, but also provides a 3d reconstruction algorithm.
Code_multiNMF
- This a module of Multi-View Non-negative Matrix Factorization(MultiNMF) -This is a module of Multi-View Non-negative Matrix Factorization(MultiNMF)
Image-fusion-based-on-NMF
- 基于NMF的多聚焦图像融合 适合于学习图像融合的人员-Multi-focus image fusion based on non negative matrix factorization
FSEG_v2
- Factorization-based texture segmentation