Amanote Research
Register
Sign In
The Joint Manifold Model for Semi-Supervised Multi-Valued Regression
doi 10.1109/iccv.2007.4408976
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2007
Authors
Ramanan Navaratnam
Andrew W. Fitzgibbon
Roberto Cipolla
Publisher
IEEE
Related search
Random Forest Regression for Manifold-Valued Responses
Pattern Recognition Letters
Signal Processing
Computer Vision
Pattern Recognition
Artificial Intelligence
Software
Solution Path for Semi-Supervised Classification With Manifold Regularization
Proceedings - IEEE International Conference on Data Mining, ICDM
Engineering
A Multi-Joint Model of Quiet, Upright Stance Accounts for the “Uncontrolled Manifold” Structure of Joint Variance
Biological Cybernetics
Biotechnology
Computer Science
Multi-Modal Curriculum Learning for Semi-Supervised Image Classification
IEEE Transactions on Image Processing
Computer Graphics
Computer-Aided Design
Software
Graph-Based Semi-Supervised Regression and Its Extensions
International Journal of Advanced Computer Science and Applications
Computer Science
Improving Head and Body Pose Estimation Through Semi-Supervised Manifold Alignment
Semi-Supervised Multi-View Learning for Gene Network Reconstruction
PLoS ONE
Multidisciplinary
Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data
Remote Sensing
Earth
Planetary Sciences
An Oscillatory Correlation Model for Semi-Supervised Classification
Learning and Nonlinear Models
