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Found 4 papers, 0 papers with code
Nested Model Averaging on Solution Path for High-dimensional Linear Regression
We study the nested model averaging method on the solution path for a high-dimensional linear regression problem.
GSANet: Semantic Segmentation with Global and Selective Attention
The proposed Global and Selective Attention Network (GSANet) features Atrous Spatial Pyramid Pooling (ASPP) with a novel sparsemax global attention and a novel selective attention that deploys a condensation and diffusion mechanism to aggregate the multi-scale contextual information from the extracted deep features.
Textual Analysis for Studying Chinese Historical Documents and Literary Novels
To showcase the potentials and challenges of computer-assisted analysis of Chinese literatures, we explored some interesting yet non-trivial questions about two of the Four Great Classical Novels of China: (1) Which monsters attempted to consume the Buddhist monk Xuanzang in the Journey to the West (JTTW), which was published in the 16th century, (2) Which was the most powerful monster in JTTW, and (3) Which major role smiled the most in the Dream of the Red Chamber, which was published in the 18th century.
A Novel Locally Linear KNN Model for Visual Recognition
And then the locally linear KNN model based classifier (LLKNNC), which shows its connection to the Bayes decision rule for minimum error in the view of kernel density estimation, is proposed for classification.
