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ICA
2007
Springer
14 years 18 hour ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
13 years 6 months ago
Deformable robot motion planning in a reduced-dimension configuration space
Abstract-- Motion planning of deformable objects is challenging due to the high degrees-of-freedom inherent in deformation as well as the computational cost of producing physically...
Arthur Mahoney, Joshua Bross, David Johnson
NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
GCB
1998
Springer
112views Biometrics» more  GCB 1998»
14 years 11 days ago
Combining diverse evidence for gene recognition in completely sequenced bacterial genomes
Analysis of a newly sequenced bacterial genome starts with identification of protein-coding genes. Functional assignment of proteins requires the exact knowledge of protein N-term...
Dmitrij Frishman, Andrey A. Mironov, Hans-Werner M...
ICASSP
2007
IEEE
14 years 2 months ago
An Affine Invariant Function using PCA Bases with an Application to Within-Class Object Recognition
The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant...
Georgios Tzimiropoulos, Nikolaos Mitianoudis, Tani...