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JMLR
2008
95views more  JMLR 2008»
15 years 4 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
ACCV
2010
Springer
14 years 11 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
141
Voted
ICML
2010
IEEE
15 years 5 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
CVPR
2008
IEEE
16 years 6 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ICALT
2006
IEEE
15 years 10 months ago
A Model for Interoperability in Computer Supported Collaborative Learning
Computer Supported Collaborative Learning activities involve combination of complex software tools that often need to interoperate in a wider context of learning. This paper propo...
Georgios Kahrimanis, Andreas Papasalouros, Nikolao...