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» Algorithmic Representation of Visual Information
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EDBT
2009
ACM
123views Database» more  EDBT 2009»
15 years 10 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...
COMPSAC
2002
IEEE
15 years 8 months ago
An Effective Content-Based Visual Image Retrieval System
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur...
MM
2010
ACM
199views Multimedia» more  MM 2010»
15 years 3 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew
IVS
2002
106views more  IVS 2002»
15 years 2 months ago
Pixel bar charts: a visualization technique for very large multi-attribute data sets?
Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data presenting only a very small number of data values (as in the case of bar charts) ...
Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meich...
ICML
2008
IEEE
16 years 3 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...