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In this paper, we address an exemplar-based hidden markov model (HMM) that represents the lip motion activity using visual cues for lipreading. The discriminative visual features including the geometric shape parameters and contour-constrained spatial histogram are selected for representing each lip frame. Then, a set of exemplars associated with the HMM is learned jointly to serve as a typical representation...
Spam is an imperative problem to the email communication today. Different users may have different views on judging spam which makes it difficult to filter spam from normal emails for email server. We found users with similar interest may have similar opinions. So in this paper, we proposed a spam filtering approach in which a collaborative and personalized spam filter based on social network is developed...
To solve remaining useful life prediction problems of nonlinear and non-stationary process of components, a data-driven approach is presented. The approach constructs a state space model (SSM) to describe degradation evolution process; uses extend Kalman filter to estimate state distribution in SSM and take the Expectation-Maximization (EM) algorithm to update parameters. Based on the measured data,...
This paper investigates the problem of acquiring planar object maps of indoor household environments in particular kitchens. The objects modeled in these maps include tables, walls and ceilings. Our segmentation approach is based on 3D point cloud data representations. In order to solve the segmentation problem in complicated environment, a variable model is used in this paper. It is applied in 3D...
For the rapid alignment of the ship-borne weapon INS with large initial azimuth attitude error under complex environment disturbances, a nonlinear error propagation model augmented by sensor errors and disturbance sources was proposed. Velocity plus angular rate matching method was applied in the implementation of the alignment. Simulation results show that comparing with the conventional solutions,...
To solve the noise pollution in signal detection of parameter identification, a de-noising approach using wavelet transform is proposed. The de-noising method is theoretically analyzed, experimental data which uses wavelet transformation, is compared with the one that uses Butterworth filer for cantilever friction model parameter identification, the results have proved the reliability of the experimental...
In this paper, a blind bandwidth extension method of audio signals is proposed in which the fine structure of high-frequency information is recovered based on Volterra series. Combining with Gaussian mixture model and codebook mapping to adjust the spectrum envelope and energy gain of the extended high-frequency components separately, the bandwidth of audio signals is extended to super-wideband from...
In this paper, we propose a new envelope-following parallel transient analysis method for the general switching power converters. The new method first exploits the parallelisim in the envelope-following method and parallelize the Newton update solving part, which is the most computational expensive, in GPU platforms to boost the simulation performance. To further speed up the iterative GMRES solving...
Research on the wide-band modelling method of the cable and the analysis of the electromagnetic transients on the cable systems has significant practical meaning on the engineering problems, e.g. overvoltage protection, insulation coordination and electromagnetic interference, with the growing use of cable systems and the increasing levels of capacity in the power and communication systems. In the...
This paper considers the minimax design problem in approximately linear multiresponse regression models. The difference between the fitted linear models and the true responses is a vector of non-linear contaminations restricted by a bound on its L_2 norm in the design region. We derive a theory to guide in the construction of designs which minimize the maximum loss. The minimax design is found for...
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