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Open Access research that explores socio-technical phenomena & evolving information systems & behaviours...

Strathprints makes available scholarly Open Access content by researchers within the Department of Computer & Information Sciences working as part of the Strathclyde iSchool Research Group (SiRG). The SiRG specialises in understanding how people search for information and explores interactive search tools that support their information seeking and retrieval tasks. This research work also includes investigations into information behaviour, how users engage with information and the legal and ethical issues arising from information use.

Explore the Open Access research by the SiRG, or theDepartment of Computer & Information Sciences more generally. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2018 | 2017 | 2015
Number of items: 4.

2018

Qiao, Tong and Yang, Zhijing and Ren, Jinchang and Yuen, Peter and Zhao, Huimin and Sun, Genyun and Marshall, Stephen and Benediktsson, Jon Atli (2018) Joint bilateral filtering and spectral similarity-based sparse representation : a generic framework for effective feature extraction and data classification in hyperspectral imaging. Pattern Recognition, 77. pp. 316-328. ISSN 0031-3203

2017

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Ling, Wing-Kuen and Zhao, Huimin and Marshall, Stephen (2017) Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification. Remote Sensing, 9 (12). ISSN 2072-4292

Cao, Faxian and Yang, Zhijing and Ren, Jinchang and Jiang, Mengying and Ling, Wing-Kuen (2017) Linear vs. nonlinear extreme learning machine for spectral-spatial classification of hyperspectral images. Sensors, 17 (11). ISSN 1424-8220

2015

Qiao, Tong and Ren, Jinchang and Yang, Zhijing and Qing, Chunmei and Zabalza, Jaime and Marshall, Stephen (2015) Visible hyperspectral imaging for lamb quality prediction. Technisches Messen, 82 (12). pp. 643-652. ISSN 0171-8096

This list was generated on Mon Feb 24 17:41:08 2020 GMT.