In pattern classification, it is needed to efficiently treat two-way data (feature matrices) while preserving the two-way structure such as spatio-temporal relationships, etc. The... Watch Video

Approximations based on random Fourier embeddings have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines [23]. By expressing... Watch Video

Given a picture taken somewhere in the world, automatic geo-localization of that image is a task that would be extremely useful e.g. for historical and forensic sciences, documentation... Watch Video

We describe the first mobile app for identifying plant species using automatic visual recognition. The system - called Leafsnap - identifies tree species from photographs of their... Watch Video

We are interested in large-scale image classification and especially in the setting where images corresponding to new or existing classes are continuously added to the training set... Watch Video

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