This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
Abstract. This paper focuses on defense mechanisms for cross-site scripting attacks, the top threat on web applications today. It is believed that input validation (or filtering) c...