581 search results - page 44 / 117 » EM in High Dimensional Spaces |
106
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EDBT
2009
ACM
15 years 5 months ago
2009
ACM
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
103
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NIPS
2004
15 years 8 days ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
SIAMIS
2010
14 years 5 months ago
2010
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
ICANN
1997
Springer
15 years 3 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
106
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ECIR
2008
Springer
15 years 10 days ago
2008
Springer
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...