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a-MATLAB-library-for-robust
- 介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。-Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROB
Image-Denoising-by-Adaptive-Kernel-Regression
- This paper introduces an extremely robust adaptive denoising filter in the spatial domain. The filter is based on non-parametric statistical estimation methods, and in particular generalizes an adaptive method proposed earlier by Fukunaga [1]
paper5
- Robust regression using iteratively reweighted least-squares -Robust regression using iteratively reweighted least-squares
paper6
- a Note on Computing Robust Regression Estimates Via Iteratively Reweighted
PLSaboutMATLAB
- 偏最小二乘回归是对样本数据进行“软建模”的一种稳健统计分析方法,其用途相当广泛。-Partial least squares regression is carried out on the sample data modeling soft a robust statistics analysis method, its usage is quite extensive.
spatial-econometric
- 适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR) limited dependent variable (logit, probit, tobit) and Bayesian variants time-series (VAR, BVAR, ECM) estimation and accompanying forecasting func
Robust_Face_Landmark
- 在现实世界条件下获取人脸存在较大的变化在形状和遮挡由于不同在姿态、表情、附属品的使用，例如，太阳镜和帽子以及与目标体（e.g. 食物）的交。当前的人脸界标估计方法在这种条件下努力但由于缺乏一种有效的理论方法用于处理局外点。我们提供了一个新奇的方法，称为Robust Cascaded Pose Regression (RCPR)，通过检测显式的遮挡且使用鲁棒的形状索引的特征可以减少exposure对于局外点。我们证明RCPR改进先前的界标估计方法在3个通用的人脸数据集上(LFPW, LFW and
A novel illumination-robust local descriptor
- Introduce a novel illumination-robust local descr iptor named Sparse Linear Regression Binary (SLRB) descr iptor.