In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
This paper presents a novel method for 3D surface reconstruction based on a sparse set of 3D control points. For object classes such as human heads, prior information about the cl...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
— A computation-aware motion estimation algorithm is proposed in this paper. Its goal is to find the best block matching results in a computation-limited and computation-variant...