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» Hierarchical approximation and localization
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SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
15 years 9 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
86
Voted
FSS
2007
67views more  FSS 2007»
14 years 9 months ago
Interval estimations of global weights in AHP by upper approximation
In Analytic Hierarchy Process (AHP) structured hierarchically as several criteria and alternatives, the priority of an alternative is obtained by using the pairwise comparisons ba...
Tomoe Entani, Hideo Tanaka
80
Voted
SMI
2005
IEEE
140views Image Analysis» more  SMI 2005»
15 years 3 months ago
Interactive Implicit Modeling with Hierarchical Spatial Caching
Complex implicit CSG models can be represented hierarchically as a tree of nodes (the BlobTree) . However, current methods cannot be used to visualize changes made to these models...
Ryan Schmidt, Brian Wyvill, Eric Galin
NETWORKING
2004
14 years 11 months ago
Multi-domain Diagnosis of End-to-End Service Failures in Hierarchically Routed Networks
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
Malgorzata Steinder, Adarshpal S. Sethi
UAI
1998
14 years 11 months ago
Hierarchical Solution of Markov Decision Processes using Macro-actions
tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kae...