Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Robust analysis of vector fields has been established as an important tool for deriving insights from the complex systems these fields model. Many analysis techniques rely on co...
This paper describes a computerized aesthetic composition task that is based on a “creativity as search” metaphor. The technique collects detailed, moment-to-moment data about...
Kyle E. Jennings, Dean Keith Simonton, Stephen E. ...
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenterscale programming has become an imperative research age...
Zhiqiang Ma, Zhonghua Sheng, Lin Gu, Liufei Wen, G...