In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
In this paper, we present a method for guessing POS tags of unknown words using local and global information. Although many existing methods use only local information (i.e. limit...
Abstract. Precise indoor localization is quickly becoming a reality, but application demonstrations to date have been limited to use of only a single piece of location information ...
In this paper, we describe a SVM classification framework of session detection task on both Chinese and English query logs. With eight features on the aspects of temporal and cont...