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ICPR
2008
IEEE
15 years 9 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
ICMLA
2009
15 years 24 days ago
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
Yangfeng Ji, Tong Lin, Hongbin Zha
APLAS
2003
ACM
15 years 8 months ago
A Typeful and Tagless Representation for XML Documents
When constructing programs to process XML documents, we immediately face the question as to how XML documents should be represented internally in the programming language we use. C...
Dengping Zhu, Hongwei Xi
AIS
2010
Springer
15 years 3 months ago
Thinking with external representations
Why do people create extra representations to help them make sense of situations, diagrams, illustrations, instructions and problems? The obvious explanation-external representatio...
David Kirsh
AAAI
1996
15 years 4 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard