Qinghua Hu – författare

This book constitutes the refereed conference proceedingsof the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining andGranular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 asone of the co-located conference of the 2015 Joint Rough Set Symposium, JRS2015.

The 44 papers were carefully reviewed and selected from97 submissions. The papers in this volume cover topics such as rough sets: theexperts speak; generalized rough sets; rough sets and graphs; rough and fuzzyhybridization; granular computing; data mining and machine learning; three-waydecisions; IJCRS 2015 data challenge.

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the  CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

 This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the  CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.