94 search results - page 10 / 19 » Statistical Shape Analysis via Principal Factor Analysis |
82
Voted
ECCV
2000
Springer
16 years 1 months ago
2000
Springer
The initialisation of segmentation methods aiming at the localisation of biological structures in medical imagery is frequently regarded as a given precondition. In practice, howev...
MICCAI
2005
Springer
16 years 16 days ago
2005
Springer
The growing usage of statistical shape analysis in medical imaging calls for effective methods for highly accurate shape correspondence. This paper presents a novel landmark-based ...
RAS
2002
14 years 11 months ago
2002
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
92
Voted
SSPR
2004
Springer
15 years 5 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
JMLR
2010
14 years 10 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...