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ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
13 years 5 months ago
A riemannian-geometry approach for dynamics and control of object manipulation under constraints
A Riemannian-geometry approach for control and stabilization of dynamics of object manipulation under holonomic or non-holonomic (but Pfaffian) constraints is presented. First, pos...
Suguru Arimoto, Morio Yoshida, Masahiro Sekimoto, ...
BMVC
2010
13 years 5 months ago
Manifold Alignment via Corresponding Projections
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xil...
ETVC
2008
13 years 9 months ago
Intrinsic Geometries in Learning
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
Richard Nock, Frank Nielsen
APPROX
2008
Springer
83views Algorithms» more  APPROX 2008»
13 years 9 months ago
Sampling Hypersurfaces through Diffusion
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
Hariharan Narayanan, Partha Niyogi
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Smooth Multi-Manifold Embedding for Robust Identity-Independent Head Pose Estimation
In this paper, we propose a supervised Smooth Multi-Manifold Embedding (SMME) method for robust identity-independent head pose estimation. In order to handle the appearance variati...
Xiangyang Liu, Hongtao Lu, Heng Luo