239 citations · 331 across the 10 of their papers we have counts for
10 papers
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu, Lei Xing, Shuai Shao +4
Few-shot learning (FSL), purposing to resolve the problem of data-scarce, has attracted considerable attention in recent years. A popular FSL framework contains two phases: (i) the…
Multiview Hessian Regularization for Image Annotation
Weifeng Liu, Dacheng Tao
The rapid development of computer hardware and Internet technology makes large scale data dependent models computationally tractable, and opens a bright avenue for annotating image…
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
Xueqi Ma, Weifeng Liu, Dapeng Tao +1
Recently, manifold regularized semi-supervised learning (MRSSL) received considerable attention because it successfully exploits the geometry of the intrinsic data probability dist…
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition
Xueqi Ma, Weifeng Liu, Shuying Li +1
It is of great importance to preserve locality and similarity information in semi-supervised learning (SSL) based applications. Graph based SSL and manifold regularization based SS…
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
Yanan Guo, Lei Li, Weifeng Liu +2
The ever-growing popularity of Kinect and inertial sensors has prompted intensive research efforts on human action recognition. Since human actions can be characterized by multiple…
Multi-view Face Analysis Based on Gabor Features
Hongli Liu, Weifeng Liu, Yanjiang Wang
Facial analysis has attracted much attention in the technology for human-machine interface. Different methods of classification based on sparse representation and Gabor kernels hav…
Multiview Hessian regularized logistic regression for action recognition
W. Liu, H. Liu, D. Tao +2
With the rapid development of social media sharing, people often need to manage the growing volume of multimedia data such as large scale video classification and annotation, espec…
Large-Scale Paralleled Sparse Principal Component Analysis
W. Liu, H. Zhang, D. Tao +2
Principal component analysis (PCA) is a statistical technique commonly used in multivariate data analysis. However, PCA can be difficult to interpret and explain since the principa…
Multiview Hessian Discriminative Sparse Coding for Image Annotation
Weifeng Liu, Dacheng Tao, Jun Cheng +1
Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal r…
Dictionary learning based image enhancement for rarity detection
Hui Li, Xiaomeng Wang, Weifeng Liu +1
Image enhancement is an important image processing technique that processes images suitably for a specific application e.g. image editing. The conventional solutions of image enhan…