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AICT
2006
IEEE
129views Communications» more  AICT 2006»
15 years 10 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
FASE
2010
Springer
15 years 10 months ago
A Process to Effectively Identify "Guilty" Performance Antipatterns
Abstract. The problem of interpreting the results of software performance analysis is very critical. Software developers expect feedbacks in terms of architectural design alternati...
Vittorio Cortellessa, Anne Martens, Ralf Reussner,...
NIPS
2008
15 years 8 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
SENSYS
2005
ACM
16 years 8 days ago
Sympathy for the sensor network debugger
Being embedded in the physical world, sensor networks present a wide range of bugs and misbehavior qualitatively different from those in most distributed systems. Unfortunately, d...
Nithya Ramanathan, Kevin K. Chang, Rahul Kapur, Le...