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» On the Automatic Extraction of Data from the Hidden Web
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CVPR
1998
IEEE
16 years 8 months ago
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 9 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
14 years 9 months ago
The SystemT IDE: an integrated development environment for information extraction rules
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...
ICASSP
2009
IEEE
16 years 1 months ago
Data hiding in hard-copy text documents robust to print, scan and photocopy operations
This paper describes a method for hiding data inside printed text documents that is resilient to print/scan and photocopying operations. Using the principle of channel coding with...
Avinash L. Varna, Shantanu Rane, Anthony Vetro
WWW
2004
ACM
16 years 7 months ago
Visual web mining
Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web...
Amir H. Youssefi, David J. Duke, Mohammed Javeed Z...