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CVPR
2009
IEEE
14 years 17 days ago
On bias correction for geometric parameter estimation in computer vision
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
Takayuki Okatani, Koichiro Deguchi
ICASSP
2011
IEEE
12 years 9 months ago
On the improvement of image registration for high accuracy super-resolution
Accurate image registration plays a preponderant role in image super-resolution methods and in the related literature landmarkbased registration methods have gained increasing acc...
Michalis Vrigkas, Christophoros Nikou, Lisimachos ...
CORR
2008
Springer
85views Education» more  CORR 2008»
13 years 5 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li
ALMOB
2006
155views more  ALMOB 2006»
13 years 5 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
TELSYS
2010
94views more  TELSYS 2010»
13 years 4 months ago
An improved Hurst parameter estimator based on fractional Fourier transform
A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be chara...
Yangquan Chen, Rongtao Sun, Anhong Zhou