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Analytic line fitting in the presence of uniform random noise
Nathan S. Netanyahu, Isaac Weiss
Department of Mathematics
University of Maryland, College Park
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Analytic line fitting in the presence of uniform random noise'. Together they form a unique fingerprint.
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Keyphrases
Random Noise
100%
Line Fitting
100%
Fitting in
100%
Mixture Model
33%
Zero Mean
33%
Randomly Distributed
33%
Line Segments
33%
Pattern Recognition
33%
Squared Distance
33%
Gaussian Noise
33%
Analytic Method
33%
Ordinary Least Squares Method
33%
Method of Moments
33%
Computer Science
Least Squares Method
100%
Squared Distance
100%
Uniform Random
100%
Gaussian White Noise
100%
Pattern Recognition
100%
Experimental Result
100%
Mathematics
Fitting Line
100%
Random Noise
100%
Data Point
66%
Line Segment
33%
Method of Moment
33%
Method of Least Square
33%
Gaussian Distribution
33%
Mixture Model
33%
Pattern Recognition
33%
Closed Form Solution
33%
Engineering
Data Point
100%
Experimental Result
50%
Tasks
50%
Closed Form Solution
50%
Gaussian White Noise
50%
Pattern Recognition
50%
Line Segment
50%
Method of Least Square
50%
Physics
Random Noise
100%
Least Squares Method
25%
Pattern Recognition
25%
Earth and Planetary Sciences
Random Noise
100%
Method of Moment
25%