: We consider a class of point processes, which we call sub-Poisson; these are point processes that can be directionallyconvexly (dcx) dominated by some Poisson point process. The ...
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...