To find the best lattice model representation of a given full atom protein structure is a hard computational problem. Several greedy methods have been suggested where results are ...
Sparse superposition codes are developed for the additive white Gaussian noise channel with average codeword power constraint. Codewords are linear combinations of subsets of vecto...
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
We present in this paper a formal approach for the representation of multimodal information. This approach, thanks to the to use of typed feature structures and hypergraphs, gener...
The well-known successive refinement scenario is extended to vector sources where individual distortion constraints are posed on every vector component. This extension is then util...