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» Learning from Highly Structured Data by Decomposition
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EDBT
2009
ACM
123views Database» more  EDBT 2009»
15 years 4 months ago
High-performance information extraction with AliBaba
A wealth of information is available only in web pages, patents, publications etc. Extracting information from such sources is challenging, both due to the typically complex langu...
Peter Palaga, Long Nguyen, Ulf Leser, Jörg Ha...
ICMCS
2006
IEEE
127views Multimedia» more  ICMCS 2006»
15 years 3 months ago
An Interactive Region-Based Image Clustering and Retrieval Platform
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
Ying Liu, Xin Chen, Chengcui Zhang, Alan P. Spragu...
BMVC
1997
14 years 11 months ago
Employing Region Features for Searching an Image Database
This paper describes recent work on the use of regional data extracted from segmented images for use as search keys in an image database query system. The motivation for this work...
Matthew E. J. Wood, Neill W. Campbell, Barry T. Th...
HUC
2010
Springer
14 years 11 months ago
Psycho-physiological measures for assessing cognitive load
With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load...
Eija Haapalainen, Seungjun Kim, Jodi Forlizzi, Ani...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan