3 citations · 5 across the 6 of their papers we have counts for
6 papers
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao, Lei Xing, Rui Xu +3
In recent years, researchers pay growing attention to the few-shot learning (FSL) task to address the data-scarce problem. A standard FSL framework is composed of two components: i…
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Shuai Shao, Mengke Wang, Rui Xu +2
For classification tasks, dictionary learning based methods have attracted lots of attention in recent years. One popular way to achieve this purpose is to introduce label informat…
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Shuai Shao, Rui Xu, Yan-Jiang Wang +2
In recent years, the attention mechanism contributes significantly to hypergraph based neural networks. However, these methods update the attention weights with the network propaga…
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Jinfeng Li, Weifeng Liu, Yicong Zhou +2
Domain adaptation aims to generalize a model from a source domain to tackle tasks in a related but different target domain. Traditional domain adaptation algorithms assume that eno…
Label Embedded Dictionary Learning for Image Classification
Shuai Shao, Yan-Jiang Wang, Bao-Di Liu +2
Recently, label consistent k-svd (LC-KSVD) algorithm has been successfully applied in image classification. The objective function of LC-KSVD is consisted of reconstruction error,…
Manifold regularized kernel logistic regression for web image annotation
W. Liu, H. Liu, D. Tao +2
With the rapid advance of Internet technology and smart devices, users often need to manage large amounts of multimedia information using smart devices, such as personal image and…