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» Adaptive Manifold Learning
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DAGM
2006
Springer
13 years 11 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Bipedal walking on rough terrain using manifold control
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
Tom Erez, William D. Smart
ICASSP
2009
IEEE
14 years 2 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
ICPR
2006
IEEE
14 years 8 months ago
Simultaneous Inference of View and Body Pose using Torus Manifolds
Inferring 3D body pose as well as viewpoint from a single silhouette image is a challenging problem. We present a new generative model to represent shape deformations according to...
Ahmed M. Elgammal, Chan-Su Lee
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
14 years 1 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...