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» Streaming Algorithms for extent problems in high dimensions
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AAAI
2007
13 years 9 months ago
Online Co-Localization in Indoor Wireless Networks by Dimension Reduction
This paper addresses the problem of recovering the locations of both mobile devices and access points from radio signals that come in a stream manner, a problem which we call onli...
Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan
APWEB
2006
Springer
13 years 11 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
SC
2003
ACM
14 years 21 days ago
SCALLOP: A Highly Scalable Parallel Poisson Solver in Three Dimensions
SCALLOP is a highly scalable solver and library for elliptic partial differential equations on regular block-structured domains. SCALLOP avoids high communication overheads algor...
Gregory T. Balls, Scott B. Baden, Phillip Colella
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months 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
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 2 months ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Charu C. Aggarwal