40,208 research outputs found
Text Line Segmentation of Historical Documents: a Survey
There is a huge amount of historical documents in libraries and in various
National Archives that have not been exploited electronically. Although
automatic reading of complete pages remains, in most cases, a long-term
objective, tasks such as word spotting, text/image alignment, authentication
and extraction of specific fields are in use today. For all these tasks, a
major step is document segmentation into text lines. Because of the low quality
and the complexity of these documents (background noise, artifacts due to
aging, interfering lines),automatic text line segmentation remains an open
research field. The objective of this paper is to present a survey of existing
methods, developed during the last decade, and dedicated to documents of
historical interest.Comment: 25 pages, submitted version, To appear in International Journal on
Document Analysis and Recognition, On line version available at
http://www.springerlink.com/content/k2813176280456k3
Decomposition of the efficiency of the Chinese state-owned commercial banks at the provincial level
This study adopts a bank production function approach to the measurement of banking efficiency at the provincial level in the Chinese state-owned commercial banking sector from 1998 to 2003. Applying Data Envelopment Analysis and efficiency decomposition analysis, this paper has revealed a significant level of pure technical input inefficiency and, to a lesser extent, scale inefficiency across the provincial branches of all the banking groups. The study has also uncovered the extent of inefficiency in individual banking inputs and provincial branches. Finally, the provincial-level efficiency is further decomposed into within-banking-group and between-banking-group effects
Spartan Daily, November 3, 1965
Volume 53, Issue 31https://scholarworks.sjsu.edu/spartandaily/4736/thumbnail.jp
Parsing Thai Social Data: A New Challenge for Thai NLP
Dependency parsing (DP) is a task that analyzes text for syntactic structure
and relationship between words. DP is widely used to improve natural language
processing (NLP) applications in many languages such as English. Previous works
on DP are generally applicable to formally written languages. However, they do
not apply to informal languages such as the ones used in social networks.
Therefore, DP has to be researched and explored with such social network data.
In this paper, we explore and identify a DP model that is suitable for Thai
social network data. After that, we will identify the appropriate linguistic
unit as an input. The result showed that, the transition based model called,
improve Elkared dependency parser outperform the others at UAS of 81.42%.Comment: 7 Pages, 8 figures, to be published in The 14th International Joint
Symposium on Artificial Intelligence and Natural Language Processing
(iSAI-NLP 2019
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The four powers of design: A value model in design management
This analysis proposes a framework to bridge the gap between the world of designers and the world of managers. Illuminating her thesis with examples from Steelcase, Decathlon, and other companies, Brigitte Borja de Mozota parallels design's ability to differentiate, integrate, transform, and contribute to the enterprise and bottom-line results with a corporate focus on markets, processes, talent, and finances
Spartan Daily, November 3, 1965
Volume 53, Issue 31https://scholarworks.sjsu.edu/spartandaily/4736/thumbnail.jp
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