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» Graded-Inclusion-Based Information Retrieval Systems
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152
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SIGIR
2003
ACM
15 years 8 months ago
Single n-gram stemming
Stemming can improve retrieval accuracy, but stemmers are language-specific. Character n-gram tokenization achieves many of the benefits of stemming in a language independent way,...
James Mayfield, Paul McNamee
131
Voted
SIGIR
2005
ACM
15 years 9 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
129
Voted
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
15 years 8 months ago
Image database retrieval utilizing affinity relationships
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
132
Voted
CBMS
2001
IEEE
15 years 7 months ago
Computer Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects
Image indexing for biomedical content is a prohibitively expensive task if done manually. This leads to the demand for effective automated or computer assisted indexing methods. W...
L. Rodney Long, George R. Thoma
210
Voted
VCIP
2003
238views Communications» more  VCIP 2003»
15 years 4 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou