Based on the recent success of Low-Rank matrix Representation(LRR),we propose a novel classification method for robust face recognition,named LRR-based Classification(LRRC).By the ideal that if each data class is line...
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ISBN:
(纸本)9781479947249
Based on the recent success of Low-Rank matrix Representation(LRR),we propose a novel classification method for robust face recognition,named LRR-based Classification(LRRC).By the ideal that if each data class is linearly spanned by a subspace of unknown dimensions and the data are noiseless,the lowest-rank representations of a set of test vector samples with respect to a set of training vector samples have the nature of being both dense for within-class affinity and almost zero for between-class ***,the LRR exactly reveals the classification of the *** experimental results demonstrate that LRRC has competitive with state-of-the-art classification methods.
This paper studies distributed estimation of linear dynamical target in homogeneous sensor networks. Just some sensors can get observations of the target. A distributed estimator composing of Luenberger observers and ...
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This paper studies distributed estimation of linear dynamical target in homogeneous sensor networks. Just some sensors can get observations of the target. A distributed estimator composing of Luenberger observers and consensus strategy is applied. Based on spectral radius analysis and algebraic graph theory, necessary conditions of distributed detectability are given for time-invariant and randomly switching networks, respectively. By applying Lyapunov functional analysis and solving a special LQR problem, sufficient detectability conditions are proposed for both networks. The sufficient conditions are composed of an explicit inequality concerning weights, topology switching probabilities and the eigenvalues of the target's system matrix. Simulation examples are given to illustrate the results.
In this paper, short periodic solutions of a discretized second-order sliding-mode control system are investigated. Specifically, the existence and stability of short periodic solutions are analyzed. Moreover, the exp...
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In this paper, short periodic solutions of a discretized second-order sliding-mode control system are investigated. Specifically, the existence and stability of short periodic solutions are analyzed. Moreover, the explicit descriptions of short periodic solutions are also presented.
An introduction is presented in which the editor discusses the theme of the periodical based on learning in nonstationary and evolving environments along with changes in the editorial board and also offers brief profi...
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An introduction is presented in which the editor discusses the theme of the periodical based on learning in nonstationary and evolving environments along with changes in the editorial board and also offers brief profiles of associate editors including Sander Bohte, Preben Kidmose, and Peter Tino.
We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered...
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ISBN:
(纸本)9781479978878
We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.
In this paper, an effective motion comparison method based on segmented multi-joint line graphs combined with the SIFT feature matching method is proposed. Firstly, the multi-joint 3D motion data are captured using th...
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The wind is the main factor to influence the propagation of gas in the atmosphere. Therefore, the wind signal obtained by anemometer will provide us valuable clues for searching gas leakage sources. In this paper, the...
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In traditional biomechanical analysis of upper limb, the high-precision motion data and lifelike human models are needed. It is obvious that those processes are costly and time-consuming. In this paper, a novel and si...
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The rapid development of vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communications calls for highly spectral efficient communication techniques under time-selective channels. Spatial modulation (SM) facili...
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The rapid development of vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communications calls for highly spectral efficient communication techniques under time-selective channels. Spatial modulation (SM) facilitates flexible trade-off between spectral and energy efficiency. In this paper, we propose a novel modulation technique based on SM for V2X, which discards the requirement of channel state information (CSI) at the receiver and exhibits enhanced robustness against time-selective fading and Doppler effects. Our proposed scheme tailors differential modulation to SM and is named differential spatial modulation (DSM). Monte Carlo simulations are carried out to demonstrate the advantage of the new scheme in terms of bit error rate (BER) performance for both point-to-point and dual-hop amplify-and-forward (AF) relaying systems in V2X channels.
In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and ope...
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In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and operator theory, sufficient conditions of asymptotical stabilization for linear DPSS are derived in linear operator inequalities(LOIs)framework. Being applied to three dimensional switched heat propagation equations, we transform the LOIs into the linear matrix inequalities(LMIs), which has the advantage of being numerically well tractable by using matlab software. In particular, the state feedback gain matrices are designed. Two examples are given to illustrate the proposed results.
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