In this paper a gradient-based algorithm for finding spectral peak locations is presented. The algorithm makes use of gradient and acceleration locations in the spectrogram for locating the peaks. Use of frequency gradients and accelerations locate peaks. The results are then interpolated to yield a smooth peak envelope. The method is evaluated in the aurora framework. A first pass locates all ...

Aims. We study the enigmatic B[e] star MWC 300 to investigate its disk and binary with milli-arcsecond-scale angular resolution. Methods. We observed MWC 300 with the VLTI/AMBER instrument in the H and K bands and compared these observations with temperature-gradient models to derive model parameters. Results. The measured low visibility values, wavelength dependence of the visibilities, and wa...

A method to extract and recognize isolated characters in license plates is proposed. In extraction stage, the proposed method detects isolated characters by using Difference-ofGaussian (DOG) function, The DOG function, similar to Laplacian of Gaussian function, was proven to produce the most stable image features compared to a range of other possible image functions. The candidate characters ar...

Mixed-hybrid finite element discretization of Darcy’s law and the continuity equation that describe the potential fluid flow problem in porous media leads to symmetric indefinite saddlepoint problems. In this paper we consider solution techniques based on the computation of a nullspace basis of the whole or of a part of the left lower off-diagonal block in the system matrix and on the subsequen...

In this paper, we propose a novel approach to improve a statistical model-based voice activity detection (VAD) method based on a modified conditional maximum a posteriori (MAP) criterion incorporating the spectral gradient scheme. The proposed conditional MAP incorporates not only the voice activity decision in the previous frame as in [1] but also the spectral gradient of the observed spectra ...

We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstorder algorithms, such as the projected gradient method, mirror descent, and forwardbackward splitting, our method yields new analysis and algorithms. We also derive specific instantiations of our method for commonly use...

The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make use of the kinematic dynamic information measured data to reconstruct underground model. However, it faces problems crosstalk between multiple parameters strong nonlinearity. This research proposes a multi-constrained, FWI framework based on projected quasi-Newton algorithm. introduce types prior geo...

We consider the problem of spectral clustering with partial supervision in the form of must-link and cannot-link constraints. Such pairwise constraints are common in problems like coreference resolution in natural language processing. The approach developed in this paper is to learn a new representation space for the data together with a distance in this new space. The representation space is o...

This report summarizes the results of the scalability improvements of the algorithms used in Total FETI (TFETI). A performance evaluation of two new techniques is presented in this report: (1) a novel pipelined implementation of CG method in PETSc and (2) a MAGMA LU solver running on following many-cores accelerators: GPU Nvidia Tesla K20m and Intel MIC Xeon Phi 5110P.