37 search results - page 4 / 8 » Non-linear dimensionality reduction techniques for unsupervi... |
195
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
193
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PR
2011
14 years 9 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
349
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INTERSPEECH
2010
15 years 1 months ago
2010
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
164
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KCAP
2005
ACM
16 years 6 hour ago
2005
ACM
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...
175
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PR
2010
15 years 4 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...