Titlebook: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu Conference proceedi

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書目名稱Intelligent Computing Theories and Application影響因子(影響力)




書目名稱Intelligent Computing Theories and Application影響因子(影響力)學(xué)科排名




書目名稱Intelligent Computing Theories and Application網(wǎng)絡(luò)公開度




書目名稱Intelligent Computing Theories and Application網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Computing Theories and Application被引頻次




書目名稱Intelligent Computing Theories and Application被引頻次學(xué)科排名




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書目名稱Intelligent Computing Theories and Application年度引用學(xué)科排名




書目名稱Intelligent Computing Theories and Application讀者反饋




書目名稱Intelligent Computing Theories and Application讀者反饋學(xué)科排名

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CLAIM

An Adaptive Segmentation Algorithm for Degraded Chinese Rubbing Image Binarization Based on Backgrocter details for degraded historical document image, we propose an adaptive segmentation algorithm for degraded historical document image binarization based on background estimation for non-uniform illumination images. The novelty of the proposed method is that find an optimal background estimation

CYT

Parameter Selection of Image Fog Removal Using Artificial Fish Swarm Algorithm,n to solve the equation of fog formation model. To overcome the limitations, a novel defogging parameter selection algorithm based on artificial fish swarm algorithm (AFSA) is proposed in this paper. Two representative defogging algorithms are used to test the effectiveness of the method. The propos

myelography

On Bessel Structure Moment for Images Retrieval,l Fourier-Mellin and Zernike moments in terms of represent global features. The experiments show that the feature descriptors extracting from the proposed algorithm perform better for image retrieval than conventional descriptors by comparing the retrieval accuracy with the same order.

Amnesty

Optimizing Edge Weights for Distributed Inference with Gaussian Belief Propagation,alized processing. Gaussian belief propagation (GaBP) is an effective message-passing algorithm for performing inference on distributed networks, however, its accuracy and convergence can be significantly decreased as networks have higher connectivity and loops. This paper presents two empirically d

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領(lǐng)袖氣質(zhì)

Asseverate

悶熱

Unmanned Ship Path Planning Based on RRT,ly-Exploring Random Tree algorithm (RRT) for path planning of unmanned ship, which can obtain an asymptotically optimal path planning in limited time. Moreover, an extension of RRT algorithm has been proposed to overcome the actual demand of multi-waypoint path planning for unmanned ship. The feasib