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» Using structured text for large-scale attribute extraction
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 6 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ISMIR
2005
Springer
124views Music» more  ISMIR 2005»
15 years 5 months ago
Symbolic Representation of Musical Chords: A Proposed Syntax for Text Annotations
In this paper we propose a text represention for musical chord symbols that is simple and intuitive for musically trained individuals to write and understand, yet highly structure...
Christopher Harte, Mark B. Sandler, Samer A. Abdal...
ICDAR
2009
IEEE
15 years 6 months ago
Document Image Retrieval with Local Feature Sequences
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout ...
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
SC
2003
ACM
15 years 5 months ago
Traffic-based Load Balance for Scalable Network Emulation
Load balance is critical to achieving scalability for large network emulation studies, which are of compelling interest for emerging Grid, Peer to Peer, and other distributed appl...
Xin Liu, Andrew A. Chien
CVPR
2009
IEEE
15 years 3 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso