In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
In this paper, we propose power efficient motion estimation (ME) using multiple imprecise sum absolute difference (SAD) metric computations. We extend recent work in [18] by prov...
A new approach to comparison of dynamic meshes based on Hausdorff distance is presented along with examples of application of such metric. The technique presented is based on repre...
Commonly used coreference resolution evaluation metrics can only be applied to key mentions, i.e. already annotated mentions. We here propose two variants of the B3 and CEAF coref...
The Robinson-Foulds (RF) metric is the measure most widely used in comparing phylogenetic trees; it can be computed in linear time using Day's algorithm. When faced with the n...