Titlebook: Computational Collective Intelligence; 7th International Co Manuel Núñez,Ngoc Thanh Nguyen,Bogdan Trawiński Conference proceedings 2015 Spr

割公牛膨胀

偶像

Heterogeneous DPSO Algorithm for DTSPe number of the algorithm parameters, regarding the swarm size, the number of iterations and the size of neighborhood. A higher diversity of particles vs. the homogeneous version positively influences the quality of obtained results, what was demonstrated in various experiments.

Fatten

Multi-start Differential Evolution Approach in the Process of Finding Equilibrium Points in the Covaset of strategies. The Differential Evolution algorithm is presented as the multi-start method, in which sampling of the solution is used. If preliminary estimation of the solution is not satisfactory, the new subset of strategies for all players is selected and the new population of individuals is created.

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Fresco

paradigm

Zhouxian Jiang,Honghui Li,Xuetao Tianset of strategies. The Differential Evolution algorithm is presented as the multi-start method, in which sampling of the solution is used. If preliminary estimation of the solution is not satisfactory, the new subset of strategies for all players is selected and the new population of individuals is created.

内疚

0302-9743 ced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching..978-3-319-24305-4978-3-319-24306-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Automatic Categorization of Shots in News Videos Based on the Temporal Relationsternet video collections, TV shows archives, video-on-demand systems, personal video archives offered by Web services, etc. The videos very frequently offered in the Web by broadcast channels are news videos and sports news videos. Content-based indexing of videos is based on the automatic detection

Osteons

Saliency-Guided Video Deinterlacing paper a spatial saliency-guided motion compensated deinterlacing method is proposed: our algorithm classifies the field according to its texture and viewer’s region of interest and adapts the motion estimation and compensation, as well as the saliency-guided interpolation in order to ensure high qu