A5112079828- Image Retrieval and Classification Techniques
- Digital Media Forensic Detection
- Bayesian Methods and Mixture Models
- Face recognition and analysis
- Advanced Clustering Algorithms Research
- Biometric Identification and Security
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
Harbin University of Science and Technology
2014-2024
Harbin Institute of Technology
2006
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There are two open problems for unsupervised learning of finite mixture models: model selection and initialization. To circumvent these in image segmentation applications, we integrate a filter technique into the EM algorithm. The proposed algorithm starts with largest possible number regions. With convergence algorithm, irrelevant components can be eliminated. It does not require careful initialization also has advantage preserving good features while making use spatial information...