319 search results - page 22 / 64 » Learning Nonlinear Manifolds from Time Series |
75
Voted
SIAMMA
2010
14 years 4 months ago
2010
In recent work nonlinear subdivision schemes which operate on manifold-valued data have been successfully analyzed with the aid of so-called proximity conditions bounding the diffe...
113
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TIP
2010
14 years 4 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
SBRN
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
103
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SIGIR
1999
ACM
15 years 1 months ago
1999
ACM
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...