Survey of MIL algorithms for image semantic analysis

Multi-instance learning(MIL) has been recognized as the fourth machine learning framework,and has been widely used in the image semantic analysis.Firstly,the concepts such as development history,characteristics and many useful testing datasets of MIL techniques are reviewed.Then,many popular MIL algorithms are also introduced in detail by using realworld applications based on image semantic analysis.Meanwhile,based on their machine learning mechanisms,related MIL algorithms are divided into a variety of categories,which highlights the processes and dominant features of different MIL algorithms.Finally,the trends and possible outputs for further researches are discussed in details.