This paper proposes an initialization for an agglomerative system applied to speaker diarization in the meeting environment. The initialization is based on a previous clustering of the temporal sequence generated by the estimation of the Time Delay of Arrival (TDOA) among pair of sensors. That initial clustering has the purpose of obtaining initial classes with speaker information from a sole s...

An automatic anatomy segmentation method is proposed which effectively combines the Active Appearance Model, Live Wire and Graph Cut (ALG) ideas to exploit their complementary strengths. It consists of three main parts: model building, initialization, and delineation. For the initialization (recognition) part, a pseudo strategy is employed and the organs are segmented slice by slice via the OAA...

For simulation of centrifugal chiller system with differential algebraic equations (DAEs), consistent initial conditions are difficult to obtain due to the two-phase refrigerant cycle and the connections between several components. Existing rigorous initialization methods are generally not easy to apply and not suitable for the particular problem of centrifugal chiller simulation, such as the s...

The nonnegative matrix factorization (NMF) is a boundconstrained low-rank approximation technique for nonnegative multivariate data. NMF has been studied extensively over the last years, but an important aspect which only has received little attention so far is a proper initialization of the NMF factors in order to achieve a faster error reduction. Since the NMF objective function is usually no...

The formulation of interior point algorithms for semide nite programming has become an active research area, following the success of the methods for large{ scale linear programming. Many interior point methods for linear programming have now been extended to the more general semide nite case, but the initialization problem remained unsolved. In this paper we show that the initialization strate...

A new NMF algorithm has been proposed for the deconvolution of overlapping chromatograms of chemical mixture. Most of the NMF algorithms used so far for chromatogram separation do not converge to a stable limit point. To get same results for all the runs, instead of random initialization, three different initialization methods have been used namely, ALS-NMF (robust initialization), NNDSVD based...

Bundle adjustment is used in structure-from-motion pipelines as final refinement stage requiring a sufficiently good initialization to reach a useful local mininum. Starting from an arbitrary initialization almost always gets trapped in a poor minimum. In this work we aim to obtain an initialization-free approach which returns global minima from a large proportion of purely random starting poin...

Selection of a good initial approximation is a well known problem for all iterative methods of data approximation, from k -means to Self-Organizing Maps (SOM) and manifold learning. The quality of the resulting data approximation depends on the initial approximation. Principal components are popular as an initial approximation for many methods of nonlinear dimensionality reduction because its c...

In this paper, we analyze the initialization algorithm of Grain, one of the eSTREAM candidates which made it to the third phase of the project. We point out the existence of a sliding property in the initialization algorithm of the Grain family, and show that it can be used to reduce by half the cost of exhaustive key search (currently the most efficient attack on both Grain v1 and Grain-128). ...