A5005606581- Neural Networks and Applications
- Microbial Natural Products and Biosynthesis
- Hand Gesture Recognition Systems
- Natural Language Processing Techniques
- Mycotoxins in Agriculture and Food
- Handwritten Text Recognition Techniques
- Fungal Biology and Applications
- Advanced Research in Systems and Signal Processing
- Microbial Community Ecology and Physiology
- Emotion and Mood Recognition
- Face and Expression Recognition
- Sensor Technology and Measurement Systems
- Neurological diseases and metabolism
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
- T-cell and Retrovirus Studies
Guangdong Academy of Sciences
2024
Institute of Microbiology
2024
Wuyi University
2010-2024
South China Normal University
2023
Chinese Academy of Agricultural Sciences
2009
Myxobacteria are special bacteria with wide adaptability, which rich sources of structurally diverse natural products intriguing biological properties. Here, a gram-negative myxobacterium strain s54d21 T was isolated from the sediment wetland park in China using Escherichia coli baiting method. Based on 16S rRNA gene sequence and genomic data, demonstrated to be novel species rare genus Hyalangium , designated ruber sp. nov (type = GDMCC 1.1945 JCM 39263 ). The subsequent chemical...
The dimensionality reduction has always been a long lasting thorny problem on the study of facial expression recognition (FER). In this paper, we propose novel method recognition, which using Gaussian process latent variable models (GPLVM) for reducing high dimensional data images into relatively low dimension and support vector machine (SVM) classifier classification lately. By applying algorithm to Japanese Female Facial Expression (JAFFE) database find that proposed new better performance...
Handwritten mathematical expression recognition(HMER) has attracted considerable attention in pattern recognition community. However, it remains challenging due to distinct personal styles and qualities real application. To this end, we propose an encoder-decoder method, namely VTAHMER, using scale cross-modal learning paper. This method improves the efficiency effectiveness of multi-scale symbol by adaptive convolutional kernel weighting approach. In addition, invariant features from both...