This paper presents new Information Extraction scenarios which are linguistically and structurally more challenging than the traditional MUC scenarios. Traditional views on event ...
The factorization method [1] is a feature-based approach to recover 3D rigid structure from motion. In [2], we extended their framework to recover a parametric description of the ...
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Context-aware applications and middleware platforms are evolving into major driving factors for pervasive systems. The ability to also make accurate assumptions about future contex...