785 search results - page 61 / 157 » Semi-Supervised Dimensionality Reduction |
141
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
156
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JMLR
2010
14 years 10 months ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
199
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JMLR
2010
14 years 10 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
129
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IV
2007
IEEE
15 years 10 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
127
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GLVLSI
2003
IEEE
15 years 9 months ago
2003
IEEE
Power-awareness indicates the scalability of the system energy with changing conditions and quality requirements. Multipliers are essential elements used in DSP applications and c...