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» Semantics and Experience in the Future Web
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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ECCV
2010
Springer
14 years 10 months ago
What Does Classifying More Than 10, 000 Image Categories Tell Us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
LREC
2010
172views Education» more  LREC 2010»
14 years 11 months ago
Evaluating Utility of Data Sources in a Large Parallel Czech-English Corpus CzEng 0.9
CzEng 0.9 is the third release of a large parallel corpus of Czech and English. For the current release, CzEng was extended by significant amount of texts from various types of so...
Ondrej Bojar, Adam Liska, Zdenek Zabokrtský
WWW
2009
ACM
15 years 10 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
DEXA
2009
Springer
173views Database» more  DEXA 2009»
15 years 4 months ago
Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents
SHIRI 1 is an ontology-based system for integration of semistructured documents related to a specific domain. The system’s purpose is to allow users to access to relevant parts ...
Mouhamadou Thiam, Nacéra Bennacer, Nathalie...