42 search results - page 7 / 9 » Hubs in Space: Popular Nearest Neighbors in High-Dimensional... |
102
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SIGMOD
2010
ACM
15 years 2 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
ICML
2004
IEEE
15 years 2 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
114
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MMM
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
99
Voted
SSDBM
2009
IEEE
15 years 4 months ago
2009
IEEE
High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
72
Voted
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...