Sciweavers

662 search results - page 16 / 133
» Method of Motion Data Processing Based on Manifold Learning
Sort
View
PR
2006
147views more  PR 2006»
13 years 7 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
CVPR
2012
IEEE
11 years 9 months ago
Manifold-based fingerprinting for target identification
In this paper, we propose a fingerprint analysis algorithm based on using product manifolds to create robust signatures for individual targets in motion imagery. The purpose of ta...
Kang-Yu Ni, Terrell N. Mundhenk, Kyungnam Kim, Yur...
CANDC
2009
ACM
14 years 1 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 1 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
DAGM
2010
Springer
13 years 5 months ago
Catheter Tracking: Filter-Based vs. Learning-Based
Abstract. Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached t...
Alexander Brost, Andreas Wimmer, Rui Liao, Joachim...