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Sparse subspace clustering (SSC) is an effective approach to cluster high-dimensional data. However, how to adaptively select the number of clusters/eigenvectors for different data sets, especially when the data are corrupted by noise, is a big challenge in SSC and also an open problem in field of data mining. In this paper, considering the fact that the eigenvectors are robust to noise, we develop...
The visual and automatic classification of vehicles plays an important role in the Transport Area. Besides of security issues, the monitoring of the type of traffic in streets and highways, as well the traffic dynamics over time, allows the optimization of use and of resources related to such public infrastructure. In this work we propose a novel method, called 2D-DBM, for robust and efficient automatic...
The article deals with a robust photogrammetric method to measure the geometric parameters of large scale objects with axial symmetry. The method is based on measuring the 3D-coordinates of the centers of circular retroreflective targets placed on the object in planes perpendicular to the axis of symmetry with the minimum moment of inertia. There has been developed a two-stage outlier filtering algorithm...
The robustness of adaptive beamforming is relate to the input signal-to-noise ratio (SNR). In order to further improve the performance of input SNR estimation, a modified method of input SNR estimation for robust adaptive beamforming is proposed. Comparatively accurate value of the input SNR can be obtained by the proposed method, especially when the input SNR exceeds 0 dB. When the proposed method...
This paper presents a novel approach for an interval-based gain scheduling control design aiming at a guaranteed stabilization of the system dynamics over a predefined time horizon. Due to the goal of asymptotic stability, the design aims at the temporal reduction of the widths of intervals representing worst-case bounds of the system states at a specific point of time. The main idea of the control...
In this paper, we develop a new formula for the characteristic equation of a matrix A explicitly and directly in terms of the elements of A. This contrasts with existing methods such as Leverrier's algorithm which is iterative and eigenvalue computation based methods which cannot be applied to matrices with unknown parameters. The formula is applied here to derive explicit stability conditions in...
Palmprint recognition has received in the last 20 years a great deal of the research community's attention. In this paper a new palmprint matching approach based on corner feature point extraction is proposed. A 72-element fixed-length descriptor is used to capture distinctive information of each feature point neighborhood and to build a measure of similarity whilst their coordinates provide a measure...
The paper considers the robust stability problem of uncertain discrete-time fractional order linear state-space systems. The state matrix is the interval matrix whose entries are convex combinations of the entries of two known constant matrices. The necessary and sufficient condition for robust stability is proposed. This condition is stated with respect to eigenvalue-loci placement in the complex...
In this paper, we propose torque-modulated backstepping control for uniform tracking errors in the vertical motion of two-dimensional electromagnetic scanners using only output measurement. Due to manufacturing tolerance, there are parameter uncertainties of two-dimensional electromagnetic scanners so that it is not easy to obtain uniform tracking error performance for the motion control of scanners...
The modern applications like social networks and sensors networks are increasingly used in the recent years. These applications can be represented as a weighted graph using irregular structure. Unfortunately, we cannot apply the techniques of the traditional signal processing on those graphs. In this paper, graph spread spectrum watermarking is proposed for networked sensor data authentication. Firstly,...
This paper is concerned with the distributed control for robust output regulation of multi-agent systems(MASs) with adaptive event-triggered mechanism. A novel distributed adaptive control law based on output feedback is developed, which can avoid using the minimal nonzero eigenvalue of Laplacian matrix associated with global system topology and reduce the frequency of data transmission. It is shown...
This paper proposes a new approach for robust pole assignment in second-order systems with proportional plus derivative state feedback. The desired closed-loop poles set locates in an arbitrarily specified circular region, and it can be easily taken as a part of the design parameters based on geometric principles. The object can be converted into a global dynamical optimization problem based on geometric...
The standard Iterative Closest Point (ICP) algorithm is a robust and efficient rigid registration algorithm for 3D point clouds. Nevertheless, its efficiency notably decreases when applied to a large transformation cases. In order to avoid this drawback and improve its performance, we propose a new 3-step approach based on ICP and point Cloud Projection, called ICP- CP, that both enhances the accuracy...
Dependence-maximization clustering is another line of clustering framework, which clusters samples by maximizing the statistical dependence on samples in the same group. Recently, dependence-maximization clustering method based on least-squares quadratic mutual information (LSQMI), called LSQMI based clustering (LSQMIC), was proposed. A notable advantage of LSQMIC over other dependence-maximization...
In this letter we construct frames consisting of 5d − 4 vectors that enable a both uniform and tractable recovery for the phase retrieval problem in ℂd.
In this paper we study the problem of automatically generating polynomial solvers for minimal problems. The main contribution is a new method for finding small elimination templates by making use of the syzygies (i.e. the polynomial relations) that exist between the original equations. Using these syzygies we can essentially parameterize the set of possible elimination templates. We evaluate our method...
In this paper, we consider the leader-follower consensus problem of multi-agent systems governed by second order dynamics with nonlinear terms. Taking into account the external disturbances, a leader-follower consensus tracking algorithm for each agent with high-order sliding mode control method is proposed to make all the followers track the leader. Then we prove that each agent can follow the leader...
We propose to test model-based polarimetric decomposition techniques for robustness to variations in the underlying in-scene scattering mechanisms. The accuracy and robustness of the decomposition results are determined from simulated data sets. The simulation input parameters, e.g. volume scattering model, polarimetric signal-to-noise, etc., are known and thus provide the “ground truth” for comparison...
This paper deals with the consensus disturbance rejection problem for networked systems coordinating over uncertain communication channels. Each communication channel of the network is modeled as an ideal transmission system with the unitary transfer function perturbed by a norm-bounded uncertainty, which is particularly susceptible to describe quantization errors and communication noises. A distributed...
In this paper, we first formulate the event-triggered robust practical output regulation problem for a class of linear minimum-phase systems. The problem formulation requires the solution to the closed-loop system exist for all t ≥ 0, thus ruling out the possibility of the Zeno behavior, and the steady-state tracking error be made arbitrarily small. Then, we present the solvability of the problem...
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