Selected Data and Software used in recent papers.

1. Code for learning sparse Gaussian Processes:

2. Code and data for learning compact, similarity-preserving binary codes from large high-dimensional data sets (called Minimal Loss Hashing):

2. Image sequence data used in experiments from our 2003 paper on tracking with adaptive appearance models: (Jepson, A.D., Fleet, D.J., El-Maraghi, T. (2003) Robust online appearance models for visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(10):1296-1311 (abstract) (pdf) © IEEE)

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