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CVIU
2004
115views more  CVIU 2004»
13 years 10 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 21 days ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
CVPR
2008
IEEE
15 years 28 days ago
Graph-shifts: Natural image labeling by dynamic hierarchical computing
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
Jason J. Corso, Alan L. Yuille, Zhuowen Tu
STAIRS
2008
112views Education» more  STAIRS 2008»
14 years 10 days ago
Unsupervised Web-based Automatic Annotation
The success of the Semantic Web depends both on the definition of ontologies used to represent the knowledge as on the annotations performed of the web contents. As manual approach...
Miquel Millan, David Sánchez, Antonio Moren...
ADBIS
2003
Springer
194views Database» more  ADBIS 2003»
14 years 4 months ago
Rule-Based Generation of XML DTDs from UML Class Diagrams
We present an approach of how to extract automatically an XML document structure from a conceptual data model that describes the content of a document. We use UML class diagrams as...
Thomas Kudrass, Tobias Krumbein