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ICMLA
2009
15 years 2 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
SOCRATES
2008
105views Education» more  SOCRATES 2008»
15 years 6 months ago
Laboratory Door Opens to Non-formal Learning Communities. Science Centres as Mediators
The e-KNOWNET is a Lifelong Learning project, which aims to develop an innovative and viable mechanism to facilitate the flow of new scientific knowledge produced in the research ...
G. Anyfandi, V. Laopodis, V. Koulaidis, Nicolas Ap...
JCHE
2007
81views more  JCHE 2007»
15 years 4 months ago
Supporting Self-Organized Learning with Personal WebPublishing Technologies and Practices
I N THIS PAPER, we suggest that self-organized learning can be supported through emergent and informal Web technologies and propose that these technologies can be used to encourag...
Priya Sharma, Sebastian Fiedler
ICPR
2008
IEEE
16 years 5 months ago
On refining dissimilarity matrices for an improved NN learning
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
Elzbieta Pekalska, Robert P. W. Duin
217
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MLMI
2007
Springer
15 years 10 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...