Deep Coding Network

Part of Advances in Neural Information Processing Systems 23 (NIPS 2010)

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Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu


This paper proposes a principled extension of the traditional single-layer flat sparse coding scheme, where a two-layer coding scheme is derived based on theoretical analysis of nonlinear functional approximation that extends recent results for local coordinate coding. The two-layer approach can be easily generalized to deeper structures in a hierarchical multiple-layer manner. Empirically, it is shown that the deep coding approach yields improved performance in benchmark datasets.