376 search results - page 45 / 76 » Supervised dimensionality reduction using mixture models |
115
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models o...
159
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ECCV
2004
Springer
16 years 5 months ago
2004
Springer
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
107
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AUSAI
2007
Springer
15 years 9 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
123
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JMLR
2008
15 years 3 months ago
2008
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
157
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ICRA
2003
IEEE
15 years 8 months ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...