104 search results - page 3 / 21 » A Nearest Neighbor Method for Efficient ICP |
162
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ICDE
2007
IEEE
15 years 10 months ago
2007
IEEE
The All Nearest Neighbor (ANN) operation is a commonly used primitive for analyzing large multi-dimensional datasets. Since computing ANN is very expensive, in previous works R*-t...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
JCB
2008
14 years 9 months ago
2008
We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be e...
170
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SIGMOD
2009
ACM
15 years 9 months ago
2009
ACM
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...