210 search results - page 9 / 42 » High Dimensional Similarity Joins: Algorithms and Performanc... |
79
Voted
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
69
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
112
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DAWAK
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper, we present a new approach to indexing multidimensional data that is particularly suitable for the efficient incremental processing of nearest neighbor quer...