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Found 6 papers, 1 papers with code
Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging
Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology.
Hyperspectral-Multispectral Image Fusion with Weighted LASSO
Hyperspectral imaging provides superior material specificity, while multispectral images are faster to collect at greater fidelity.
Classifying Partially Labeled Networked Data via Logistic Network Lasso
We apply the network Lasso to classify partially labeled data points which are characterized by high-dimensional feature vectors.
Localized Linear Regression in Networked Data
The network Lasso (nLasso) has been proposed recently as an efficient learning algorithm for massive networked data sets (big data over networks).
The Logistic Network Lasso
We apply the network Lasso to solve binary classification and clustering problems for network-structured data.
When is Network Lasso Accurate: The Vector Case
A recently proposed learning algorithm for massive network-structured data sets (big data over networks) is the network Lasso (nLasso), which extends the well- known Lasso estimator from sparse models to network-structured datasets.
