This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
In this paper, an online handwritten Chinese character segmentation method is proposed. It is based on a dynamic programming algorithm, which uses geometrical features extracted f...
Xue Gao, Pierre Michel Lallican, Christian Viard-G...
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Publication repositories contain an abundance of information about the evolution of scientific research areas. We address the problem of creating a visualization of a research are...