133 search results - page 7 / 27 » Adaptive metric dimensionality reduction |
141
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DAGM
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
150
Voted
IJCNLP
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
163
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CVPR
2000
IEEE
15 years 9 months ago
2000
IEEE
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
153
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FOCS
2003
IEEE
15 years 11 months ago
2003
IEEE
The doubling constant of a metric space (X, d) is the smallest value λ such that every ball in X can be covered by λ balls of half the radius. The doubling dimension of X is the...
177
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CIKM
2008
Springer
15 years 7 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...