74 search results - page 14 / 15 » Nonlinear Manifold Learning for Data Stream |
AAAI
2010
14 years 11 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
90
Voted
CVPR
2008
IEEE
16 years 7 days ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
JFR
2006
14 years 10 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
103
Voted
ICCS
2007
Springer
15 years 4 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
106
Voted
ACCV
2010
Springer
14 years 5 months ago
2010
Springer
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...