Learning Face Localization Using Hierarchical Recurrent Networks

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Deep learning in neural networks: An overview (2014, methodology): “ts were later obtained through a combination of NNs and HMMs (Zamora-Martnez et al., 2014). Compare earlier RNNs for object recognition through iterative image interpretation (Behnke and Rojas, 1998; Behnke, 2002, 2003b); see also more recent publications (Wyatte et al., 2012; OReilly et al., 2013) ”
Accurate Eye Centre Localisation by Means of Gradients (2011, unknown): “1%) (Behnke, 2002) (37.”
Discovering hierarchical speech features using convolutional non-negative matrix factorization (2003, methodology): “This architecture has also been used for image reconstruction [10] and face localization [11].”