Distributed Message Passing for Large Scale Graphical Models
This code of our CVPR11 paper implements distributed convex belief propagation (BP). It works for all platforms and general graphs with potentials of arbitrary order. The code can be found here
Efficient Large-Scale Stereo Matching
The code for our ACCV10 paper can be found here
Learning to Recognize Objects from Unseen Modalities
The code for our ECCV10 paper can be found here
Non-linear Matrix Factorization with Gaussian Processes
The code for our ICML09 paper can be found here
Discriminative GPLVM
An implementation of our ICML07 paper can be found on Neil Lawrence GPLVM toobox here
Local Gaussian Process Regression
Coming soon code for our CVPR08 paper ...
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