Sparse Bayesian Learning Assisted CFO Estimation Using Nonnegative Laplace Prior

Using Gyroscopes to Improve State Estimation for Quadrotor Aircraft

Sparse representation for tumor classification based on feature extraction using latent low-rank rep

Target Detection using Sparse Representation with Element and Construction Combination Feature

Sparse-view photoacoustic tomography using virtual parallelprojections and spatially adaptive filter

This letter presents a postprocessing algorithm for a kernel sparse representation (KSR)-based hyper

图像去雾算法的的原文，在本文中，我们提出了一个简单但有效的图像先验暗通道之前，从一个单一的输入图像去除混浊。暗通道先验是一种室外无雾图像的统计。这是基于一个关键的观察结果，大多数室外无雾图像中的局部斑

A scheme of flexible colorless remote note with reflective semiconductor optical amplifier (RSOA) as

The key of zero-shot learning is to use the visual-semantic embedding to transfer the knowledge from

Embedding change rate estimation based on ensemble learning

Many pattern analysis and data mining problems have witnessed high-dimensional data represented by a