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09/17/2023
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ_0-constraints
Tensor data represents a multidimensional array. Regression methods base...
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08/23/2023
An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization
We propose an accelerated block proximal linear framework with adaptive ...
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08/13/2023
Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection
Sparse Partial Least Squares (sPLS) is a common dimensionality reduction...
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03/14/2023
Precise Facial Landmark Detection by Reference Heatmap Transformer
Most facial landmark detection methods predict landmarks by mapping the ...
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04/27/2021
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Non-negative matrix factorization (NMF) is a powerful tool for dimension...
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07/28/2018
Group-sparse SVD Models and Their Applications in Biological Data
Sparse Singular Value Decomposition (SVD) models have been proposed for ...
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10/13/2017
Sparse Weighted Canonical Correlation Analysis
Given two data matrices X and Y, sparse canonical correlation analysis (...
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09/21/2016
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery
Molecular profiling data (e.g., gene expression) has been used for clini...
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03/19/2016