Probabilistic Kernels and Feature Synthesis for Image Categorisation

We introduce an ensemble of different machine learning tools for generic image categorisation. The tools comprise probabilistic kernels developed to capture the distribution of local features and an extension of the Support Vector Machine to learn different features sets simultaneously.