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Deep Coding Network
Yuanqing Lin · Tong Zhang · Shenghuo Zhu · Kai Yu

Tue Dec 07 12:00 AM -- 12:00 AM (PST) @

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.

Author Information

Yuanqing Lin (NEC Labs America)
Tong Zhang (The Hong Kong University of Science and Technology)
Shenghuo Zhu (NEC Laboratories America)
Kai Yu (Baidu)

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