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» Combining Candidate and Document Models for Expert Search
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ICDAR
2009
IEEE
15 years 4 months ago
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition
This paper describes a method of on-line handwritten Japanese text recognition by improved path evaluation. Based on a theoretical ground, the method evaluates the likelihood of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...
GBRPR
2007
Springer
15 years 1 months ago
An Efficient Ontology-Based Expert Peering System
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...
Tansu Alpcan, Christian Bauckhage, Sachin Agarwal
EMMCVPR
2007
Springer
15 years 4 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang
CHI
2003
ACM
15 years 10 months ago
Combined model for text entry rate development
We combine the power law of learning and theoretical upper limit predictions to describe the development of text entry rates from users' first contact to asymptotic expert us...
Poika Isokoski, I. Scott MacKenzie
ECIR
2011
Springer
14 years 1 months ago
A User-Oriented Model for Expert Finding
Expert finding addresses the problem of retrieving a ranked list of people who are knowledgeable on a given topic. Several models have been proposed to solve this task, but so far...
Elena Smirnova, Krisztian Balog