Research Interests
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My research interests basically lay in machine learning, which includes both kernel machines, graphical models, Bayesian learning and machine learning applications in various fields. Especially, I have been working or look forward working on the following topics:

Machine Learning Research

  • Graphical Models
  • Kernel Machines
  • Bayesian Statistics
  • Multivariate analysis
  • Structured  Output  Learning
  • Multi-View (Source) Learning
  • Manifold-based Learning
  • Reinforcement Learning
Machine Learning Applications
  • Object Pose Estimation
  • Semantic Learning
  • Recommendation Systems
  • Robotic Grasp Learning
  • Imgae annotation/Retrieval
  • Visual Neural Models
  • 3D Shape Analysis
  • Robotic Affodance Learning

More information of my current research can be found on publication page                                 .
   graphical_model       kenrel method           sensorimotor learning          computer vision