Picture for Sha Cao

Sha Cao

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence

Add code
Sep 28, 2021
Figure 1 for Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Figure 2 for Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Viaarxiv icon

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks

Add code
Jun 13, 2021
Figure 1 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 2 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 3 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Figure 4 for Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Viaarxiv icon

Denoising individual bias for a fairer binary submatrix detection

Add code
Aug 09, 2020
Figure 1 for Denoising individual bias for a fairer binary submatrix detection
Figure 2 for Denoising individual bias for a fairer binary submatrix detection
Figure 3 for Denoising individual bias for a fairer binary submatrix detection
Figure 4 for Denoising individual bias for a fairer binary submatrix detection
Viaarxiv icon

Geometric All-Way Boolean Tensor Decomposition

Add code
Jul 31, 2020
Figure 1 for Geometric All-Way Boolean Tensor Decomposition
Figure 2 for Geometric All-Way Boolean Tensor Decomposition
Figure 3 for Geometric All-Way Boolean Tensor Decomposition
Figure 4 for Geometric All-Way Boolean Tensor Decomposition
Viaarxiv icon

Supervised clustering of high dimensional data using regularized mixture modeling

Add code
Jul 19, 2020
Figure 1 for Supervised clustering of high dimensional data using regularized mixture modeling
Figure 2 for Supervised clustering of high dimensional data using regularized mixture modeling
Figure 3 for Supervised clustering of high dimensional data using regularized mixture modeling
Figure 4 for Supervised clustering of high dimensional data using regularized mixture modeling
Viaarxiv icon

A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression

Add code
Jun 10, 2020
Figure 1 for A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
Figure 2 for A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
Figure 3 for A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
Figure 4 for A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
Viaarxiv icon

MEBF: a fast and efficient Boolean matrix factorization method

Add code
Sep 09, 2019
Figure 1 for MEBF: a fast and efficient Boolean matrix factorization method
Figure 2 for MEBF: a fast and efficient Boolean matrix factorization method
Figure 3 for MEBF: a fast and efficient Boolean matrix factorization method
Figure 4 for MEBF: a fast and efficient Boolean matrix factorization method
Viaarxiv icon

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival

Add code
Aug 06, 2019
Figure 1 for Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Figure 2 for Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Figure 3 for Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Figure 4 for Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Viaarxiv icon