Image Home
Image People
Image Publication
Image Applications
Image Data & Code
Image Library
Image Seminar
Image Link
Image Album

Search LAMDA


Description: The package includes the MATLAB code of algorithms MIMLBOOST and MIMLSVM, both which are designed to deal with multi-instance multi-label learning. It is in particular useful when a real-world object is associated with multiple instances as well as multiple labels simultaneously. A Readme file and some sample files are included in the package.


•Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. In: Advances in Neural Information Processing Systems 19 (NIPS'06) (Vancouver, Canada), B. Sch?lkopf, J. Platt, and T. Hofmann, eds. Cambridge, MA: MIT Press, 2007, pp.1609-1616.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (

Requirement: The package was developed with MATLAB (version 7.0.4). Remember to normalize your data for each bag to 0, 1.

ATTN2: This package was developed by Mr. Min-Ling Zhang ( For any problem concerning the code, please feel free to contact Mr. Zhang.

Download: code (95Kb)
  Name Size
- MIMLBoost and MIMLSVM.rar 94.64 KB

(for FireFox 3+ and IE 7+)
Contact LAMDA: (email) (tel) +86-025-89681608 © LAMDA, 2016