However, our experiments on the seven most prominent landmarking algorithms have revealed that these results are not always reproducible.
The most prominent stereo algorithms for minimizing the global energy function are based on graph cuts [7] and belief propagation [8] optimization methods.
However, recent analysis of the predictive performance of several of the most prominent prediction algorithms, such as TargetScan [ 10], PicTar [ 11] and DIANA-microT [ 12] report extremely high false negative rates [ 8, 13, 14].
We compare the performance of C3NET with four of the most prominent inference algorithms, ARACNE [ 24], MRNET [ 25], RN [ 22] and CLR [ 23], that are widely used in the literature.
The most prominent fuzzy clustering algorithm is the fuzzy c-means clustering [43].
Also, the proposed DFTCOMM method is compared in detail with the most prominent competing SFFT-related algorithms in the context of computing the DFTs in both sparse and non-sparse (harsh) sensing scenarios for different values of the operational parameters (L i, L o, and N).
A number of methods have been developed for this purpose, with the most prominent one as ARACNe (algorithm for reconstruction of accurate cellular networks).
The most prominent problem when running Algorithm 1 is the "folding" phenomenon.
Briefly, clique percolation is the most prominent overlapping node clustering algorithm, greedy modularity optimization is the most popular modularity-based technique, and Infomap is often considered the most accurate method available (Ahn et al., 2010).
As a concluding example, refer to the test scenario with N = 8192 and L i = L o =307 in which case the savings in the total number of required arithmetic operations attainable with the DFTCOMM algorithm in comparison with the most prominent competing split-radix FFT algorithm [3, 14, 23, 24] constitute 45%%.
