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ICA
2007
Springer
15 years 8 months 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
130
Voted
ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
15 years 2 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»
15 years 4 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»
15 years 8 months 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
15 years 11 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...