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AI
2008
Springer
15 years 1 months ago
A Statistical Model for Topic Segmentation and Clustering
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...
M. Mahdi Shafiei, Evangelos E. Milios
ICDAR
2005
IEEE
15 years 5 months ago
A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming
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...
WWW
2004
ACM
16 years 12 days ago
Query and content suggestion based on latent interest and topic class
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...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 3 months ago
Topic models with power-law using Pitman-Yor process
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...
Issei Sato, Hiroshi Nakagawa
ICML
2007
IEEE
16 years 17 days ago
Unsupervised prediction of citation influences
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...
Laura Dietz, Steffen Bickel, Tobias Scheffer