Improved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-Hidden-Layer Case
- Shuai Zhang
- Meng Wang
- et al.
- 2021
- IEEE TNNLS
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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19 results at IEEE TNNLS
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
- Xiang Ling
- Lingfei Wu
- et al.
- 2021
- 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
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering
- Siamak Mehrkanoon
- Carlos Alzate
- et al.
- 2015
- IEEE TNNLS