Minimax correlation between a line segment and a beamlet

Statistics and Probability Letters

Volumn 72, Issue 1, 2005, Pages 71-81

  Huo, Xiaoming ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Beamlets; Detecting line segments in noisy data; E net; Multiscale geometric detection

Indexed keywords

EID: 14644392902     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2004.12.004     Document Type: Article

References (5)

1. Arias-Castro, E., Donoho, D.L., Huo, X., 2003. Near-optimal detection of geometric objects by fast multiscale methods. Submitted. http://www-stat.stanford.edu/~donoho/Reports/2003/MultiScaleDetect.pdf.
2. D.L. Donoho Wedgelets: Nearly minimax estimation of edges Ann. Statist. 27 3 1999 859-897
3. Huo, X., August 1999. Sparse image representation via combined transforms. Ph.D. thesis, Stanford University.
4. Donoho, D., Huo, X., 2001. Beamlets and Multiscale Image Analysis, Lecture Notes in Computational Science and Engineering, vol. 20, Springer, Berlin, pp. 149-196.
5. Huo, X., 2005. Exact lower bound for proportion of maximally embedded beamlet. Appl. Math. Lett., to appear.