879 search results - page 33 / 176 » Forecasting high-dimensional data |
212
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SIGMOD
2006
ACM
16 years 3 months ago
2006
ACM
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...
140
Voted
CIKM
2003
Springer
15 years 8 months ago
2003
Springer
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
NIPS
2001
15 years 4 months ago
2001
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
133
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TKDE
2002
15 years 2 months ago
2002
In this paper we present a clustering and indexing paradigm called Clindex for high-dimensional search spaces. The scheme is designed for approximate similarity searches, where on...
127
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...