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IPSN
2004
Springer
15 years 5 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
95
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APLAS
2000
ACM
15 years 4 months ago
Kima - An Automated Error Correction System for Concurrent Logic Programs
We have implemented Kima, an automated error correction system for concurrent logic programs. Kima corrects near-misses such as wrong variable occurrences in the absence of explici...
Yasuhiro Ajiro, Kazunori Ueda
NIPS
2004
15 years 29 days ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
BMCBI
2007
128views more  BMCBI 2007»
14 years 11 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
ICDE
2011
IEEE
244views Database» more  ICDE 2011»
14 years 3 months ago
Algorithms for local sensor synchronization
— In a wireless sensor network (WSN), each sensor monitors environmental parameters, and reports its readings to a base station, possibly through other nodes. A sensor works in c...
Lixing Wang, Yin Yang, Xin Miao, Dimitris Papadias...