227 search results - page 15 / 46 » Dimensionality Reduction for Similarity Searching in Dynamic... |
109
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DEXA
2009
Springer
15 years 4 months ago
2009
Springer
Metric access methods (MAMs) serve as a tool for speeding similarity queries. However, all MAMs developed so far are index-based; they need to build an index on a given database. T...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
108
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ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
SIGMOD
2005
ACM
15 years 9 months ago
2005
ACM
With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity sear...
182
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ICDE
2000
IEEE
15 years 11 months ago
2000
IEEE
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...