A5064370389- AI-based Problem Solving and Planning
- Traffic Prediction and Management Techniques
- Evolutionary Algorithms and Applications
- Remote-Sensing Image Classification
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Face and Expression Recognition
Alibaba Group (China)
2023
Nanjing University of Aeronautics and Astronautics
2012
Florida International University
2008
Universum learning has been used for classification and clustering, obtains favourable improvements with the help of – samples that do not belong to either class interest. In this reported work, universum is extended dimensionality reduction by incorporating it linear discriminant analysis (LDA). However, C-class problem, LDA can get at most C−1 projection directions due rank limitation. The are enough sufficient discrimination, which motivated adaption one-against-one trick decompose...
Most state-of-the-art deep domain adaptation techniques align source and target samples in a global fashion. That is, after alignment, each sample is expected to become similar any sample. However, alignment may not always be optimal or necessary practice. For example, consider cross-domain fraud detection, where there are two types of transactions: credit non-credit. Aligning non-credit transactions separately yield better performance than as unlikely exhibit patterns transactions. To...