Publications

21 results at IEEE TNNLS

Improved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-Hidden-Layer Case
- - Shuai Zhang
  - Meng Wang
  - et al.
- 2021
- IEEE TNNLS
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
- - Xiang Ling
  - Lingfei Wu
  - et al.
- 2021
- IEEE TNNLS
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory
- - Gouhei Tanaka
  - Ryosho Nakane
  - et al.
- 2020
- IEEE TNNLS
Optimizing kernel machines using deep learning
- - Huan Song
  - Jayaraman J. Thiagarajan
  - et al.
- 2018
- IEEE TNNLS
A Self-Paced Regularization Framework for Multilabel Learning
- - Changsheng Li
  - Fan Wei
  - et al.
- 2018
- IEEE TNNLS
Max-Margin-Based Discriminative Feature Learning
- - Changsheng Li
  - Qingshan Liu
  - et al.
- 2016
- IEEE TNNLS
Noise Level Estimation for Model Selection in Kernel PCA Denoising
- - Carolina Varon
  - Carlos Alzate
  - et al.
- 2015
- IEEE TNNLS
A distributed approach toward discriminative distance metric learning
- - Jun Li
  - Xun Lin
  - et al.
- 2015
- IEEE TNNLS
Ordinal distance metric learning for image ranking
- - Changsheng Li
  - Qingshan Liu
  - et al.
- 2015
- IEEE TNNLS
The connection between Bayesian estimation of a Gaussian random field and RKHS
- - Aleksandr Y. Aravkin
  - Bradley M. Bell
  - et al.
- 2015
- IEEE TNNLS