10 citations · 23 across the 6 of their papers we have counts for
4 papers · 1 filter
GMM Discriminant Analysis with Noisy Label for Each Class
Jian-wei Liu, Zheng-ping Ren, Run-kun Lu +1
Real world datasets often contain noisy labels, and learning from such datasets using standard classification approaches may not produce the desired performance. In this paper, we…
Online Deep Learning based on Auto-Encoder
Si-si Zhang, Jian-wei Liu, Xin Zuo +2
Online learning is an important technical means for sketching massive real-time and high-speed data. Although this direction has attracted intensive attention, most of the literatu…
Auto-Encoder based Co-Training Multi-View Representation Learning
Run-kun Lu, Jian-wei Liu, Yuan-fang Wang +2
Multi-view learning is a learning problem that utilizes the various representations of an object to mine valuable knowledge and improve the performance of learning algorithm, and o…
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss
Jian-wei Liu, Yuan-fang Wang, Run-kun Lu +1
Multi-view learning accomplishes the task objectives of classification by leverag-ing the relationships between different views of the same object. Most existing methods usually fo…