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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...
AMAI
1999
Springer
15 years 3 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
111
Voted
ICALT
2007
IEEE
15 years 10 months ago
Designing a Bayesian Network based Student Model for Distance Learning Environments
This work proposes the exploration of student’s information through the use of Bayesian Networks. By using thisapproach we aim to model the uncertainty inherent to the studentâ€...
Michele Silva, Ricardo Azambuja Silveira, Cecilia ...
ICML
2005
IEEE
16 years 4 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
116
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FUZZIEEE
2007
IEEE
15 years 10 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classiï¬ers from interval or fuzzyvalued data. These algorithms are efï¬cient when the observation e...
Luciano Sánchez, José Otero