@inproceedings{cee47537449d469ea7746e1e600b648b,
title = "Multi-task image classification via collaborative, hierarchical spike-and-slab priors",
abstract = "Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC). Recently, it has been shown that the use of class-specific spike-and-slab priors in conjunction with the class-specific dictionaries from SRC is particularly effective in low training scenarios. As a logical extension, we build on this framework for multitask scenarios, wherein multiple representations of the same physical phenomena are available. We experimentally demonstrate the benefits of mining joint information from different camera views for multi-view face recognition.",
author = "Mousavi, \{Hojjat S.\} and Umamahesh Srinivas and Vishal Monga and Yuanming Suo and Minh Dao and Tran, \{Trac D.\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025860",
language = "English (US)",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4236--4240",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
address = "United States",
}