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ICMLA
2007
15 years 7 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ESWS
2005
Springer
15 years 11 months ago
RELFIN - Topic Discovery for Ontology Enhancement and Annotation
While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the docu...
Markus Schaal, Roland M. Müller, Marko Brunze...
PRL
2010
188views more  PRL 2010»
15 years 4 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
WWW
2004
ACM
16 years 7 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández
ICDAR
2007
IEEE
16 years 18 days ago
Extraction of Vectorized Graphical Information from Scientific Chart Images
Graphical components information extraction is a crucial step in the chart recognition and understanding process. However, existing methods of information extraction from chart im...
Weihua Huang, Ruizhe Liu, Chew Lim Tan