Large-Scale Knowlege Transfer
[Full set of software and data is available upon request]
Semantic relatedness from Language resource
For now see our previous release at www.d2.mpi-inf.mpg.de/nlp4vision. We will shortly add an updated version.
Large Scale Learning
In our recent work  we learn a SVM with MeanSGD. The Matlab/C++ trains several classes in parallel using multi-core hardware, loading the data only once to memory. This software is based on code by Leon Bottou.
1.1: Added input check and "-largeArrayDims" for mex compilation.
Undefined function or variable 'meanSvmsgd2HingelossOpenmp'
Make sure the binary is on the path and you provide data of the type "single". Alternatively change the C++ code to double.
The features are zipped Matlab (mat) files, one per image.
Precomputed SVM classifier scores
- 1-vs-all case for test, training and validation set.
as Matlab matrixes.
- black-white images as we use rgSift.
Help & Contact
If you need any help or have any suggestions feel free to contact me.
 Evaluating Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting, M. Rohrbach, M. Stark and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition, June, (2011)