For high-dimensional data processing, like pattern recognition, it seems desirable to precede with a reduction of the number of describing features. Our aim is a comparison of various feature selection methods for pat...
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ISBN:
(纸本)9781457709142
For high-dimensional data processing, like pattern recognition, it seems desirable to precede with a reduction of the number of describing features. Our aim is a comparison of various feature selection methods for pattern recognition. We consider two-class supervised classification problem for signals decomposed in wavelet bases. We test kNN classification rule with soft and hard thresholding, performed in two stages: (1) wavelet detail coefficient thresholding (noise reduction) and (2) searching for the most differentiating coefficients between classes (selection of discriminating coefficients). We present a new classification rule based on LARS/LASSO. We compare criteria for L1-norm regularization of wavelet coefficients: AIC, BIC and the thresh derived for kNN rule. there were performed simulations for noisy signals with SNR in the range from 0 to 22 [dB], approximated for all possible wavelet resolutions. the quality of pattern recognition for the presented algorithms was measured by the estimated recognition risk and the size of reduced model.
this paper proposes application methods for utilizing a 7-DOF robot manipulator called YH050 in industrial settings. For finding an optimal method to solve the inverse kinematics problem, we propose three methods: num...
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I would like to invite you to Międzyzdroje, Poland for the 16thinternationalconference on methods and models in automation and robotics. Almost 100 draft papers have been submitted, from which the international Prog...
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I would like to invite you to Międzyzdroje, Poland for the 16thinternationalconference on methods and models in automation and robotics. Almost 100 draft papers have been submitted, from which the international Program Committee, chaired by Professor Tadeusz Kaczorek, has selected 79 papers for presentation. As before also this year's conference is organized under the auspices of the IEEE robotics & automation Society, the IEEE Control Systems Society. And as usual it is co-sponsored by the Committee of automation and robotics of the Polish Academy of Sciences and Polish Society for Measurement, Automatic Control and robotics.
In this paper an approach to gesture recognition is presented. It is based on application of simple ultrasonic range-finders. A set of five gestures is described which can be distinguish in this way. the described met...
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In this paper an approach to gesture recognition is presented. It is based on application of simple ultrasonic range-finders. A set of five gestures is described which can be distinguish in this way. the described method has been implemented for a mobile robot PeopleBot.
the positive switched 2D linear systems described by the Roesser models are addressed. Necessary and sufficient conditions for the asymptotic stability of the positive switched 2D linear systems described by the Roess...
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the positive switched 2D linear systems described by the Roesser models are addressed. Necessary and sufficient conditions for the asymptotic stability of the positive switched 2D linear systems described by the Roesser models for any switching are established. the considerations are illustrated by numerical examples.
In the paper stationarity of random processes obtained from elementary bilinear time-series models is analysed. It is shown in the presented analysis that elementary bilinear time-series models can be interpreted as l...
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In the paper stationarity of random processes obtained from elementary bilinear time-series models is analysed. It is shown in the presented analysis that elementary bilinear time-series models can be interpreted as linear time-series with time varying random parameters. the analysis is illustrated by simulation experiments showing time dependencies of some statistical moments of the discussed random processes.
the paper presents a combined prior knowledge - black-box approach to modeling of the dynamic systems. Proposed methodology assumes two basic steps: first an optimization of a physical model, using Particle Swarm Opti...
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the paper presents a combined prior knowledge - black-box approach to modeling of the dynamic systems. Proposed methodology assumes two basic steps: first an optimization of a physical model, using Particle Swarm Optimization algorithm is performed. Next, a black-box model is estimated so as to reduce the remaining error of the physical model. Proposed methodology was presented on the example of improving the accuracy of a pneumatic actuator physical model.
An adaptive fuzzy logic control scheme is developed for tracking a square trajectory by the endpoint of a two-link rigid joint space robot. the control strategy is based on a direct adaptive control scheme in which th...
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An adaptive fuzzy logic control scheme is developed for tracking a square trajectory by the endpoint of a two-link rigid joint space robot. the control strategy is based on a direct adaptive control scheme in which the controller gains are adapted in real-time according to fuzzy logic systems such that the tracking errors between a reference model and the actual robot system outputs are brought to zero.
A model of a combination of antiangiogenic treatment and chemotherapy is proposed and analyzed. the model is a modified Hahnfeldt model and the analysis has two goals: first of all we check stability of the equilibriu...
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A model of a combination of antiangiogenic treatment and chemotherapy is proposed and analyzed. the model is a modified Hahnfeldt model and the analysis has two goals: first of all we check stability of the equilibrium point of the model to find conditions leading to tumour eradication for constant dosing and periodic treatment then we propose an optimization problem and give necessary conditions of its solution. We discuss modifications of the model which enable more realistic description of treatment effects.
the paper refers to the issue of robot companion being able to migrate between different embodiments. the main attention is focused on the case when two or more companions can share the same embodiment. It is shown th...
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the paper refers to the issue of robot companion being able to migrate between different embodiments. the main attention is focused on the case when two or more companions can share the same embodiment. It is shown that some behavioural characteristics can be significant in the process of recognition of the companion's identity. the results are based on a video based experimental study. Animations for this study were prepared using a dedicated software.
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