GI
2009
Springer
13 years 2 months ago
2009
Springer
: Statistics and estimation theory is enriched with techniques derived from differential geometry. This establishes the increasing topic of information geometry. This allows new in...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Transformation manifolds are quite attractive for image analysis applications that require transformation invariance properties. The geometric structure of a transformation manifo...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Update summarization aims to create a summary over a topic-related multi-document dataset based on the assumption that the user has already read a set of earlier documents of the ...
BMVC
2010
13 years 2 months ago
2010
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...
BMVC
2010
13 years 2 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
VLSISP
2010
13 years 2 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
PRICAI
2010
Springer
13 years 2 months ago
2010
Springer
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...