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» Manifold-adaptive dimension estimation
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126
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KDD
2001
ACM
196views Data Mining» more  KDD 2001»
16 years 2 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
89
Voted
MOC
2002
92views more  MOC 2002»
15 years 1 months ago
Effects of uncertainties in the domain on the solution of Neumann boundary value problems in two spatial dimensions
An essential part of any boundary value problem is the domain on which the problem is defined. The domain is often given by scanning or another digital image technique with limited...
Ivo Babuska, Jan Chleboun
137
Voted
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 11 days ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
ICC
2009
IEEE
136views Communications» more  ICC 2009»
14 years 11 months ago
Dimensioning of a Multi-Rate Network Transporting Variable Bit Rate TV Channels
We consider a centralised (client-server) digital TV network with heterogeneous receiver devices of different resolutions, requiring a multi-rate transport system. There exist two ...
Zlatka Avramova, Sabine Wittevrongel, Herwig Brune...
112
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III