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APPROX
2004
Springer
165views Algorithms» more  APPROX 2004»
15 years 10 months ago
Approximating Additive Distortion of Embeddings into Line Metrics
We consider the problem of fitting metric data on n points to a path (line) metric. Our objective is to minimize the total additive distortion of this mapping. The total additive ...
Kedar Dhamdhere
150
Voted
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 4 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
COMGEO
2004
ACM
15 years 4 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
DCOSS
2006
Springer
15 years 8 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei
128
Voted
IPCCC
2007
IEEE
15 years 11 months ago
O(log n)-Localized Algorithms on the Coverage Problem in Heterogeneous Sensor Networks
In this paper, we study the Maximum lifetime Target Coverage problem (MTC), which is to maximize the network lifetime while guaranteeing the complete coverage of all the targets. ...
My T. Thai, Yingshu Li, Feng Wang 0002