Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
Binary Partition Trees (BPTs) are a well known technique used for region-based image representation and analysis. BPTs are usually created as a result of a merging process based o...
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
A new approach to Variable Size Block Matching is proposed, based on the binary partitioning of blocks. If a particular block does not allow for accurate motion compensation, then...
We present fast algorithms for constructing probabilistic embeddings and approximate distance oracles in sparse graphs. The main ingredient is a fast algorithm for sampling the pr...