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Found 9 papers, 2 papers with code
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
Recently, deep learning has facilitated the analysis of high-dimensional single-cell data.
Robust Andrew's sine estimate adaptive filtering
Two Andrew's sine estimator (ASE)-based robust adaptive filtering algorithms are proposed in this brief.
Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate
We propose a novel M-estimate conjugate gradient (CG) algorithm, termed Tukey's biweight M-estimate CG (TbMCG), for system identification in impulsive noise environments.
Active noise control techniques for nonlinear systems
Most of the literature focuses on the development of the linear active noise control (ANC) techniques.
A survey on active noise control techniques -- Part I: Linear systems
Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems.
Interactive Knowledge Distillation
Knowledge distillation is a standard teacher-student learning framework to train a light-weight student network under the guidance of a well-trained large teacher network.
Gated Multiple Feedback Network for Image Super-Resolution
The rapid development of deep learning (DL) has driven single image super-resolution (SR) into a new era.
Ranked #18 on
Image Super-Resolution
on BSD100 - 4x upscaling
A Symmetric Encoder-Decoder with Residual Block for Infrared and Visible Image Fusion
For the fusion stage, first, the trained model is utilized to extract the intermediate features and compensation features of two source images.
Feedback Network for Image Super-Resolution
In this paper, we propose an image super-resolution feedback network (SRFBN) to refine low-level representations with high-level information.
