In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine corr...
Ham Rara, Asem Ali, Shireen Elhabian, Aly A. Farag
In this paper we develop an algorithm for action recognition and localization in videos. The algorithm uses a figurecentric visual word representation. Different from previous ap...
In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human interv...
This paper deals with color matching in a wood quality control problem. The main difficulty consists in the recognition of gradual color in an industrial context. The wood, which i...
Vincent Bombardier, Emmanuel Schmitt, Patrick Char...