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CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 2 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 11 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ICDCS
2008
IEEE
14 years 4 months ago
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation
Resource discovery is an important process for finding suitable nodes that satisfy application requirements in large loosely-coupled distributed systems. Besides inter-node heter...
Michael Cardosa, Abhishek Chandra
ICASSP
2011
IEEE
13 years 1 months ago
Multi-sensor estimation and detection of phase-locked sinusoids
This paper proposes a method to compute the likelihood function for the amplitudes and phase shifts of noisily observed phase-locked and amplitude-constrained sinusoids. The sinus...
Christoph Reller, Hans-Andrea Loeliger, Stefano Ma...
CVPR
2006
IEEE
14 years 11 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal