476 search results - page 2 / 96 » Data Classification on Multiple Manifolds |
108
Voted
GRC
2008
IEEE
15 years 21 days ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
ISBI
2006
IEEE
16 years 10 days ago
2006
IEEE
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
93
Voted
ICIP
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
101
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AAAI
2008
15 years 1 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
77
Voted
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we consider modeling data lying on multiple continuous manifolds. In particular, we model the shape manifold of a person performing a motion observed from different ...