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» From Algorithmic to Subjective Randomness
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138
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IPSN
2004
Springer
15 years 9 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
138
Voted
SODA
1997
ACM
115views Algorithms» more  SODA 1997»
15 years 5 months ago
On-Line Difference Maximization
In this paper we examine problems motivated by on-line financial problems and stochastic games. In particular, we consider a sequence of entirely arbitrary distinct values arrivin...
Ming-Yang Kao, Stephen R. Tate
113
Voted
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
16 years 20 days ago
A New Statistical Optimization Algorithm for Gate Sizing
— In this paper, we approach the gate sizing problem in VLSI circuits in the context of increasing variability of process and circuit parameters as technology scales into the nan...
Murari Mani, Michael Orshansky
COMPGEOM
1997
ACM
15 years 8 months ago
Time-Series Similarity Problems and Well-Separated Geometric Sets
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
Béla Bollobás, Gautam Das, Dimitrios...
CORR
2011
Springer
189views Education» more  CORR 2011»
14 years 10 months ago
A Factorial Experiment on Scalability of Search Based Software Testing
Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to us...
Arash Mehrmand, Robert Feldt