2597 search results - page 453 / 520 » Embedding Heterogeneous Data Using Statistical Models |
137
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SIBGRAPI
2009
IEEE
15 years 7 months ago
2009
IEEE
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...
107
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NOLISP
2005
Springer
15 years 6 months ago
2005
Springer
The difficulty of obtaining data from impostors and the scarcity of data are two factors that have a large influence in the estimation of speakerdependent thresholds in text-depend...
102
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IEAAIE
2003
Springer
15 years 5 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
117
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SAC
2008
ACM
14 years 12 months ago
2008
ACM
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
103
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JMLR
2010
14 years 11 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...