150 search results - page 5 / 30 » Evaluating the spatial indexing of dense point sets |
157
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PODS
2000
ACM
15 years 9 months ago
2000
ACM
In this paper, we propose a new tunable index scheme, called iMinMax , that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
276
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ICDE
2003
IEEE
16 years 7 months ago
2003
IEEE
We are witnessing in recent years growing interest for location-dependent information services among mobile users. This paper examines the issue of processing locationdependent qu...
282
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ICDE
1997
IEEE
16 years 7 months ago
1997
IEEE
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
169
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ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
176
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TKDE
2008
15 years 6 months ago
2008
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...