A multi-task-based classification framework for multi-instance distance metric learning

Zhifeng Hao; Yibang Ruan; Yanshan Xiao; Bo Liu

doi:10.1016/j.neucom.2017.09.011

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A multi-task-based classification framework for multi-instance distance metric learning

Zhifeng Hao Yibang Ruan Yanshan Xiao Bo Liu

Year: 2017 Journal: Neurocomputing Vol: 275 Pages: 418-429 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2017.09.011

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Keywords:

Computer science Machine learning Artificial intelligence Classifier (UML) Euclidean distance Multi-task learning Task (project management) Boosting (machine learning)

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

A multi-task-based classification framework for multi-instance distance metric learning

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