Titlebook: Intelligence Science and Big Data Engineering; 4th International Co Changyin Sun,Fang Fang,Zhi-Yong Liu Conference proceedings 2013 Springe

配偶

Polygon-Location Method Based on Uyghur Text Regional Rules,ur text region. This paper proposed a new method to solve this problem. Firstly extracting rule feature of candidate regions, striking out the noise, then correcting the angle of the tilted text to detect the non-text area; Finally proposing polygon-location algorithm based on the special writing st

sundowning

Study on the Electromagnetic Performance of Hydroelectric Generator Based on Intelligent Control,arameters online. To enhance the adaptability of the system, the intelligent control technology is applied to the hydraulic turbine generator set which has effectively improved the dynamic operation performance in different cases. Through theoretical derivation and simulation analysis, we summarized

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Text-Independent Phoneme Segmentation via Learning Critical Acoustic Change Points,h signals followed by a peak picking procedure according to user-defined rules. Instead, this paper presents a learning-based method in which the phoneme boundaries are viewed as critical points in the acoustic change context of speech signals. First, we adopt a metric learning procedure in the calc

乐章

Robustness Analysis of Z-type ZLE Solving,l exponential convergence of the Z-type ZLE model can be achieved theoretically. In this paper, robustness properties of the Z-type ZLE model in the presence of normal differentiation and dynamics-implementation errors are investigated. Both theoretical analysis and computer-simulation results demon

Prophylaxis

Automatic Object Tracking in Aerial Videos via Spatial-temporal Feature Clustering, a robust object tracking system that is able to track multiple objects robustly in UAV videos. The main characteristics of the proposed system include: (1)A novel feature clustering based multiple objects tracking framework is proposed, which performs much better than the traditional foreground-blo

conceal

A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids,the mathematic formulation of EDSs, we construct a specific neural network, termed EDSNN. In order to train EDSNN, a modified Levenberg-Marquardt iterative algorithm is derived. Profiting from good performance in fault tolerance of neural network, the proposed algorithm can be expected to possess a

赏心悦目

G-spot

Ultra-Wideband Interference Suppression in Time Reversal Transmitted-Reference UWB System,is employed. The BER performance of TR-UWB systems with and without TiR technology are investigated respectively, and the results imply that the SNR of TR-UWB system is improved about 10dB in multi-path channel with TiR pre-filter than that without TiR pre-filter whilst BER=1E-3. The impacts of the

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