There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...