All Stories

  1. Effective Frameworks Based on Infinite Mixture Model for Real-World Applications
  2. An Entropy-Based Variational Bayes Learning Framework for Data Clustering
  3. Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information
  4. Video Forgery Detection Using a Bayesian RJMCMC-Based Approach
  5. A Comparison Between Different Gaussian-Based Mixture Models
  6. Deformable models based object tracking: Challenges and current researches
  7. Intrusion detection alert management for high-speed networks: current researches and applications
  8. A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection
  9. Web Service Intrusion Detection Using a Probabilistic Framework
  10. Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications
  11. Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection
  12. Copy-move image forgery detection based on SIFT descriptors and SVD-matching
  13. A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection
  14. Local Analysis of Human Cortex in MRI Brain Volume
  15. A Real Time Adaptive Intrusion Detection Alert Classifier for High Speed Networks
  16. Multimodal Bone Cancer Detection Using Fuzzy Classification and Variational Model
  17. Unsupervised video objects detection and tracking using region based level-set
  18. Fully Automatic Brain Tumor Segmentation Based on Multi-Modality MRI and Level-set
  19. Deformable Model-Based Segmentation of Brain Tumor from MR Images
  20. 3D SEGMENTATION OF MRI BRAIN USING LEVEL SET AND UNSUPERVISED CLASSIFICATION
  21. An Efficient Framework for Brain Tumor Segmentation in Magnetic Resonance Images
  22. Automatic MRI Brain Segmentation with Combined Atlas-Based Classification and Level-Set Approach