In the localisation stage, the two stacks are processed separately. Local maxima are assumed to originate from fluorophore beads, and a threshold value is then used to keep the prominent ones only [2]. Each one of these local maxima is then fitted with a PSF model, yielding the lateral and the axial coordinates of each fluorophore bead. The fitting error is further compared with a threshold val...

This paper proposes a deterministic annealing based training algorithm for Bayesian speech recognition. The Bayesian method is a statistical technique for estimating reliable predictive distributions by marginalizing model parameters. However, the local maxima problem in the Bayesian method is more serious than in the ML-based approach, because the Bayesian method treats not only state sequence...

In this work, we have a proposed an automatic method to brain tumor segmentation using magnetic resonance imaging (MRI) histogram. In our proposed method input is taken from abnormal slice of the MRI volume. Based on image histogram of the abnormal slice, our algorithm automatically detected the local minima and maxima using histogram smoothing techniques. Threshold value obtained from local mi...

In this short note, three infinite families of neutrally stable homogeneous Einstein metrics are ruled out as candidates for local maxima the Hilbert action.

Abstract We confirm Flandrin’s prediction for the expected average of local maxima spectrograms complex white noise with Gaussian windows (Gaussian or, equivalently, modulus weighted Entire Functions), a consequence conjectured double honeycomb mean model network zeros and maxima, where area centered hexagons is three times larger than zero hexagons. More precisely, we show that spectrograms, n...

We suggest two efficient algorithms for the detection of ‘perceptual significance’ among the local maxima of a 1-d signal. For an input function f(x) and an integer n, the first algorithm finds the n most significant maxima of f(x). The second algorithm finds all significant maxima of f(x), irrespective of their number. We represent an input signalf(x) as aG-graphG(f(x)), the vertices of which ...

Total eastward and westward electrojet currents (EEJ and WEJ) and their central latitudes derived from the International Monitor for Auroral Geomagnetic Effects (IMAGE) network magnetic measurements are analyzed for the combined MLT (magnetic local time) and seasonal dependence during the period 1995–2009. EEJ shows a strong MLT variation with significant dependence on season. During summer mon...

This paper proposes a robust audio fingerprinting system based on local spectral luminance maxima (LSLM) scheme using image processing approaches. Our approach treats spectrogram of an audio clip as a 2-D image and extracts the local luminance maxima of spectrum image as the discriminative characteristics. LSLM are selected due to resilience against quantization, compression, and noise addition...

In this paper, we propose a method for the automatic 4 identification of P -phase arrival based on the distribution of local 5 maxima (LM) in earthquake seismograms. The method efficiently 6 combines energy and frequency characteristics of the LM distri7 bution (LMD). The P detection is mainly based on the energy of 8 a seismic event in the case the earthquake has higher amplitude 9 than seismi...