1454 search results - page 126 / 291 » On High Dimensional Skylines |
168
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PPSN
1992
Springer
15 years 10 months ago
1992
Springer
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
183
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GFKL
2006
Springer
15 years 9 months ago
2006
Springer
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
152
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
164
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DATESO
2008
15 years 7 months ago
2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
158
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ACL
2006
15 years 7 months ago
2006
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...