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» Data-Driven Processing in Sensor Networks
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CCE
2006
13 years 7 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
TKDE
2008
178views more  TKDE 2008»
13 years 7 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
ICDE
2009
IEEE
178views Database» more  ICDE 2009»
13 years 5 months ago
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Bhargav Kanagal, Amol Deshpande
ICASSP
2011
IEEE
12 years 11 months ago
A classifier-based decoding approach for large scale distributed coding
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
Kumar Viswanatha, Sharadh Ramaswamy, Ankur Saxena,...
MOBICOM
2004
ACM
14 years 22 days ago
Revisiting the TTL-based controlled flooding search: optimality and randomization
In this paper we consider the problem of searching for a node or an object (i.e., piece of data, file, etc.) in a large network. Applications of this problem include searching fo...
Nicholas B. Chang, Mingyan Liu