Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision

@inproceedings{Zhong2016ConvolutionalDB,
  title={Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision},
  author={Bineng Zhong and Shengnan Pan and Hongbo Zhang and Tian Wang and Jixiang Du and Duansheng Chen and Liujuan Cao},
  booktitle={BioMed research international},
  year={2016}
}
In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically learned via a convolutional deep belief network (CDBN). Secondly, we design a simple yet effective method to transfer features learned from CDBNs on the source tasks for generic purpose to the object tracking tasks using only limited amount of… CONTINUE READING