Multi-model convolutional extreme learning machine with kernel for RGB-D object recognition

@inproceedings{Yin2017MultimodelCE,
  title={Multi-model convolutional extreme learning machine with kernel for RGB-D object recognition},
  author={Yunhua Yin and Huifang Li and Xinling Wen},
  booktitle={Other Conferences},
  year={2017}
}
With new depth sensing technology such as Kinect providing high quality synchronized RGB and depth images (RGB-D data), learning rich representations efficiently plays an important role in multi-modal recognition task, which is crucial to achieve high generalization performance. To address this problem, in this paper, we propose an effective multi-modal convolutional extreme learning machine with kernel (MMC-KELM) structure, which combines advantages both the power of CNN and fast training of… 
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