research
∙
06/22/2023
Feature screening for clustering analysis
In this paper, we consider feature screening for ultrahigh dimensional c...
share
research
∙
04/26/2023
Understanding the limitation of Total Correlation Estimation Based on Mutual Information Bounds
The total correlation(TC) is a crucial index to measure the correlation ...
research
∙
04/03/2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner
The interpretability of model has become one of the obstacles to its wid...
research
∙
01/19/2023
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
Contrastive learning is widely used for sentence representation learning...
research
∙
10/17/2022
Break The Spell Of Total Correlation In betaTCVAE
This paper proposes a way to break the spell of total correlation in bet...
research
∙
09/07/2022
Magnitude-image based data-consistent deep learning method for MRI super resolution
Magnetic Resonance Imaging (MRI) is important in clinic to produce high ...
research
∙
05/03/2022
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction
Non-Cartesian sampling with subspace-constrained image reconstruction is...
research
∙
09/10/2019
Accelerating Training using Tensor Decomposition
Tensor decomposition is one of the well-known approaches to reduce the l...
research
∙
05/30/2019
DeepShift: Towards Multiplication-Less Neural Networks
Deep learning models, especially DCNN have obtained high accuracies in s...
research
∙
01/31/2016