Jun 1, 2015 · This paper presents Discriminative Locality Alignment Network (DLANet), a novel manifold-learning-based discriminative learnable feature, ...

This paper presents Discriminative Locality Alignment Network (DLANet), a novel manifold-learning-based discriminative learnable feature, for wild scene ...

This paper presents Discriminative Locality Alignment Network (DLANet), a novel manifold-learning-based discriminative learnable feature, for wild scene ...

This paper presents Discriminative Locality Alignment Network (DLANet), a novel manifold-learning-based discriminative learnable feature, for wild scene ...

DLANet: A manifold-learning-based discriminative feature learning network for scene classification. Z. Feng, L. Jin, D. Tao, and S. Huang.

DLANet: A manifold-learning-based discriminative feature learning network for scene classification. record by Shuangping Huang • DLANet: A manifold-learning ...

DLANet: a manifold-learning-based discriminative feature learning network for scene classification. Z Feng, L Jin, D Tao, S Huang. Neurocomputing, 2015. 43 ...

Ziyong Feng, Lianwen Jin, Dapeng Tao, "DLANet: A Manifold-Learning-based Discriminative Feature Learning Network for Scene Classification", Neurocomputing, 157( ...

... DLANet: A manifold-learning-based discriminative feature learning network for scene classification Neurocomputing 157: 11-21 · Chu, Y.; Lin, H.; Yang, L.; Sun ...

This paper proposes a two-dimensional principal component analysis network (2DPCANet), which is a novel deep learning network for face recognition.