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MLMI
2007
Springer
14 years 2 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...
ICML
2010
IEEE
13 years 9 months ago
A New Analysis of Co-Training
In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods. In our analysis the co-training process ...
Wei Wang, Zhi-Hua Zhou
ICML
1994
IEEE
13 years 11 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
ICONIP
1998
13 years 9 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
EDUTAINMENT
2007
Springer
14 years 2 months ago
UML in Action: Integrating Formal Methods in Industrial Design Education
When designing product behavior, the designer often needs to communicate to experts in computer software and protocols. In present-day software engineering, formal specification m...
Jun Hu, Philip Ross, Loe M. G. Feijs, Yuechen Qian