Abstract We study the structure of branch set solutions to Plateau’s problem in metric spaces satisfying a quadratic isoperimetric inequality. In our 1st result, we give examples with constant arbitrarily close Euclidean $(4\pi )^{-1}$ for which have large set. This complements recent results Lytchak–Wenger and Stadler stating, respectively, that any space is CAT($0$) only isolated points. also...

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The topic of this paper is the so-called trifocal tensor (TFT), which describes the relative orientation of three uncalibrated images. The TFT is made up of 27 homogenous elements but only has 18 DOF. Therefore, its elements have to fulfil 8 constraints a new form for these constraints is presented in this paper. Furthermore, a new minimal parameterization for the TFT is presented having exactl...

this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

abstract. let (r,p) be a noetherian unique factorization do-main (ufd) and m be a finitely generated r-module. let i(m)be the first nonzero fitting ideal of m and the order of m, denotedord_r(m), be the largest integer n such that i(m) ⊆ p^n. in thispaper, we show that if m is a module of order one, then either mis isomorphic with direct sum of a free module and a cyclic moduleor m is isomorphi...

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling the false alarm rate associated with anomalous samples. By incorporating a non-...

The paper is concerned with the time complexity of model-based diagnosis. Our experiments indicate that the time to compute minimal diagnoses is dominated by the calls to the model of the device being diagnosed. In the paper we describe an attempt to reduce the number of model calls by incorporating two critical set algorithms Loveland, 1987] into IDA Mozeti c, 1992]. A critical set algorithm c...