The discipline of narratology has long recognized the need to classify documents as instances of different text types. We have discovered that classification is as applicable to h...
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
We carry out two studies on affective state modeling for communication settings that involve unilateral intent on the part of one participant (the evoker) to shift the affective s...
Abstract. Computer aided detection (CAD) of colonic polyps in computed tomographic colonography has tremendously impacted colorectal cancer diagnosis using 3D medical imaging. It i...
Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar...
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...