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» Localization in sparse networks using sweeps
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CISS
2008
IEEE
15 years 3 months ago
Distributed computation of a sparse cover in sensor networks without location information
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
Alireza Tahbaz-Salehi, Ali Jadbabaie
BMCBI
2011
14 years 1 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
15 years 10 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
BROADNETS
2006
IEEE
15 years 3 months ago
Sensor Localization and Camera Calibration in Distributed Camera Sensor Networks
— Camera sensors constitute an information rich sensing modality with many potential applications in sensor networks. Their effectiveness in a sensor network setting however grea...
Andrew Barton-Sweeney, Dimitrios Lymberopoulos, An...
IJCNN
2007
IEEE
15 years 3 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris