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» Using Data Mining to Estimate Missing Sensor Data
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112
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ECCV
2000
Springer
16 years 4 months ago
A Six Point Solution for Structure and Motion
The paper has two main contributions: The rst is a set of methods for computing structure and motion for m 3 views of 6 points. It is shown that a geometric image error can be mini...
Frederik Schaffalitzky, Andrew Zisserman, Richard ...
132
Voted
CMOT
2010
203views more  CMOT 2010»
15 years 1 days ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich
114
Voted
BMCBI
2010
100views more  BMCBI 2010»
15 years 2 months ago
Scaffold filling, contig fusion and comparative gene order inference
Background: There has been a trend in increasing the phylogenetic scope of genome sequencing without finishing the sequence of the genome. Increasing numbers of genomes are being ...
Adriana Muñoz, Chunfang Zheng, Qian Zhu, Vi...
IPSN
2005
Springer
15 years 8 months ago
Quantizer design and distributed encoding algorithm for source localization in sensor networks
— In this paper, we propose a quantizer design algorithm that is optimized for source localization in sensor networks. For this application, the goal is to minimize the amount of...
Yoon Hak Kim, Antonio Ortega
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 3 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek