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ICDAR
2009
IEEE
16 years 1 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
CIVR
2005
Springer
205views Image Analysis» more  CIVR 2005»
16 years 4 days ago
Automatic Image Semantic Annotation Based on Image-Keyword Document Model
Abstract. This paper presents a novel method of automatic image semantic annotation. Our approach is based on the Image-Keyword Document Model (IKDM) with image features discretiza...
Xiangdong Zhou, Lian Chen, Jianye Ye, Qi Zhang, Ba...
IDMS
1997
Springer
153views Multimedia» more  IDMS 1997»
15 years 10 months ago
Embedding Data in 3D Models
The recent popularity of digital media such as CD-ROM and the Internet has prompted exploration of techniques for embedding data, either visibly or invisibly, into text, image, and...
Ryutarou Ohbuchi, Hiroshi Masuda, Masaki Aono
COLING
2008
15 years 8 months ago
A Discriminative Alignment Model for Abbreviation Recognition
This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized...
Naoaki Okazaki, Sophia Ananiadou, Jun-ichi Tsujii
ECIR
2006
Springer
15 years 8 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders