The paper presents a motion estimation method based on data assimilation in a dynamic model, named Image Model, expressing the physical evolution of a quantity observed on the ima...
Etienne G. Huot, Isabelle Herlin, Nicolas Mercier,...
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
The profit of a retail product not only comes from its own sales, but also comes from its influence on the sales of other products. How to promote the right products to the righ...