GitHub

Piecewise Local Linear Model

In this project, we provide a method to construct piecewise local linear approximations of a black box model. The main idea behind building piecewise approximations is to divide the feature space into ...
GitHub

SpecTest_SM_piecewise.py

B_TRAIN_TIME = Beta('B_TRAIN_TIME',0,None,None,0) B_TRAIN_TIME1 = Beta('B_TRAIN_TIME1',0,None,None,0) B_TRAIN_TIME2 = Beta('B_TRAIN_TIME2',0,None,None,0) B_TRAIN ...
IEEE

Deep Low-Rank and Piecewise-Smooth Constraint Tensor Model for Hyperspectral Anomaly Detection

Abstract: Low-rank tensor decomposition and autoencoder (AE) have recently attracted much attention in the hyperspectral anomaly detection field. Although the low-rank tensor decomposition model is ...
IEEE

Hyperspectral Anomaly Detection With Tensor Average Rank and Piecewise Smoothness Constraints

Abstract: Anomaly detection in hyperspectral images (HSIs) has attracted considerable interest in the remote-sensing domain, which aims to identify pixels with different spectral and spatial features ...