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...
Accurate image registration plays a preponderant role in image super-resolution methods and in the related literature landmarkbased registration methods have gained increasing acc...
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...
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...
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...