1. Hierarchical Matching Pursuit

  2. RGB-D Kernel Descriptors

  3. RGB-D Object Recognition, Detection, and Pose Estimation

  4. Efficient Match Kernels

  5. Twin Gaussian Processes for Structured Prediction

  6. Conditional Neural Fields

  7. Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression

  8. Fast Algorithms for Large Scale Conditional 3D Prediction

  9. Working Set Selection Using Functional Gain for LS-SVM

  10. Fast Sparse Approximation for Least Square Support Vector Machine

  11. Recursive Finite Newton Algorithm for Support Vector Regression in the Primal

  12. Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-one-out Cross Validation