662 search results - page 32 / 133 » Method of Motion Data Processing Based on Manifold Learning |
108
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
183
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JMLR
2006
15 years 1 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
154
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DSP
2007
15 years 1 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
147
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IROS
2009
IEEE
15 years 8 months ago
2009
IEEE
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
123
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...