Qinghua Hu - Böcker

This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.

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.

Thisvolumecontainsthepapersselectedforpresentationatthe7thInternational Conference on Rough Sets and Current Trends in Computing (RSCTC 2010) held at the University of Warsaw, Poland, during June 28-30, 2010. This was the seventh edition of the event that has established itself as the main forum for exchange of ideas between researchersin various areasrelated to rough sets. In 2010, the conference went back to its origins both in terms of its location (the ?rst RSCTC conference was held in Warsaw, Poland in 1998) and in terms of topic coverage.The dates also markthe third anniversaryofRSEISP 2007-a conference dedicated to the memory of Zdzis law Pawlak. RSCTC2010wastoprovideresearchersandpractitionersinterestedineme- inginformationtechnologiesaforumtoshareinnovativetheories,methodologies, and applications in rough sets and its extensions. In keeping with the spirit of past rough set-based conferences, RSCTC 2010 aimed to explore synergies with other closely related areas such as computational intelligence, knowledgedisc- ery from databases and data mining, non-conventional models of computation, andWebmining.Majortopicscoveredintheseproceedingsinclude:approximate anduncertainreasoning,bioinformatics,dataandtextmining,dominance-based roughsetapproaches,evolutionarycomputing,fuzzysettheoryandapplications, logical and mathematical foundations of rough sets, perceptual systems as well as applications of rough sets and its extensions in areas such as medicine, Web intelligence and image processing.The papers included in the special and - dustrial sessions cover learning methods and mining of complex data, soft c- puting applications to multimedia and telemedicine, knowledge representation and exchange in multi-agent systems and emerging intelligent technologies in the telecommunications industry. There were 148 valid (out of 163 in total) submissions to RSCTC 2010. Every paper was examined by at least two reviewers. Out of the papers initially selected,somewereapprovedsubjecttorevisionandthenadditionallyevaluated.

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

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.