468 search results - page 31 / 94 » Riemannian Manifold Learning |
176
Voted
TIP
2010
14 years 8 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
107
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NIPS
2008
15 years 3 months ago
2008
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
118
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EUROCOLT
1999
Springer
15 years 6 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
133
Voted
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
109
Voted
MICCAI
2010
Springer
15 years 8 days ago
2010
Springer
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...