Maximum margin multiple-instance feature weighting

By Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang. 2014

14 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Bharath K. Sriperumbudur
2. Arthur Gretton
3. Barnab'as P'oczos
4. Eric Granger
5. Zoltán Szabó
6. Veronika Cheplygina
7. Ghyslain Gagnon
8. Marc-Andre Carbonneau

In Media Technology

1. Zoltán Szabó
2. Arthur Gretton
3. Barnab'as P'oczos
4. Bharath K. Sriperumbudur

Citations in the corpus

• Learning Theory for Distribution Regression (2014, background): “…Si, 2009), or (vi) feature selection, -weighting and -extraction (also called dimensionality reduction, low-dimensional embedding, manifold learning, see Raykar et al., 2008; Ping et al., 2010; Sun et al., 2010; Carter et al., 2011; Zafra et al., 2013; Chai et al., 2014a,b, and references therein).”
• Multiple instance learning: A survey of problem characteristics and applications (2016, methodology): “This type of data is often difficult to handle by classifiers using Euclidean-like distance measures.”