4850 search results - page 126 / 970 » Approximate Data Structures with Applications |
106
Voted
NIPS
2008
15 years 2 months ago
2008
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
121
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NIPS
1998
15 years 2 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
BIODATAMINING
2008
15 years 26 days ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
111
Voted
IPSN
2009
Springer
15 years 7 months ago
2009
Springer
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
104
Voted
SGP
2003
15 years 2 months ago
2003
Point sets become an increasingly popular shape representation. Most shape processing and rendering tasks require the approximation of a continuous surface from the point data. We...