IEEE TNNLS

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Comments Submiting to TNNLS

Stochastic Training of Neural Networks via Successive Convex Approximations

Simone Scardapane, Paolo Di Lorenzo

Comments Preprint submitted to IEEE Transactions on Neural Networks and Learning Systems

Online Hashing

Long-Kai Huang, Qiang Yang, Wei-Shi Zheng

Comments To appear in IEEE Transactions on Neural Networks and Learning Systems (DOI: 10.1109/TNNLS.2017.2689242)

Max-Margin based Discriminative Feature Learning

Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang

Comments Accepted by IEEE TNNLS

Structured Learning of Tree Potentials in CRF for Image Segmentation

Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen

Comments 10 pages. Appearing in IEEE Transactions on Neural Networks and Learning Systems

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo Mandic

Comments 13 pages,11 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Volume: 27, Issue: 11, Nov. 2016

Preconditioned Stochastic Gradient Descent

Xi-Lin Li

Comments 13 pages, 9 figures. To appear in IEEE Transactions on Neural Networks and Learning Systems. Supplemental materials on https://sites.google.com/site/lixilinx/home/psgd

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao

Comments 14 pages, 9 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

Stability of Analytic Neural Networks with Event-triggered Synaptic Feedbacks

Ren Zheng, Xinlei Yi, Wenlian Lu, Tianping Chen

Comments 12 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:1504.08081

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 2, 483-494, 2016

DISC: Deep Image Saliency Computing via Progressive Representation Learning

Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li

Comments This manuscript is the accepted version for IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2015

A Telescopic Binary Learning Machine for Training Neural Networks

Mauro Brunato, Roberto Battiti

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems, special issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy

Comments this work was submitted to IEEE Transactions on Neural Networks and Learning Systems. It is under review now

Evolutionary Cost-sensitive Extreme Learning Machine

Lei Zhang, David Zhang

Comments This paper has been accepted for publication in IEEE Transactions on Neural Networks and Learning Systems

Complex Support Vector Machines for Regression and Quaternary Classification

Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis, Leoni Dalla

Comments Manuscript accepted in IEEE Transactions on Neural Networks and Learning Systems

Randomized Prediction Games for Adversarial Machine Learning

Samuel Rota Bulò, Battista Biggio, Ignazio Pillai, Marcello Pelillo, Fabio Roli

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2016

Forward Stagewise Additive Model for Collaborative Multiview Boosting

Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

Comments The manuscript is currently under "Minor Revision" at IEEE Transactions on Neural Networks and Learning Systems

Continuous-Time Distributed Algorithms for Extended Monotropic Optimization Problems

Xianlin Zeng, Peng Yi, Yiguang Hong, Lihua Xie

Comments This paper has been submitted to IEEE TNNLS; It contains 26 pages and 12 figures

Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition

Priyadarshini Panda, Kaushik Roy

Comments 11 pages, 8 figures, Under review in IEEE Transactions on Neural Networks and Learning systems

Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis

Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero

Comments The work is submitted to IEEE TNNLS Special Issue on Learning in Non-(geo)metric Spaces for review on October 28, 2013, revised on July 26, 2015 and accepted on July 30, 2015. A preliminary version of this work is reported in the conference Advances in Neural Information Processing Systems (NIPS) 2012

Journal ref IEEE Transactions on Neural Networks and Learning Systems 27 (2016) 1307-1321

Dissimilarity-based Ensembles for Multiple Instance Learning

Veronika Cheplygina, David M. J. Tax, Marco Loog

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems, Special Issue on Learning in Non-(geo)metric Spaces

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 6, 2016, pages 1379 - 1391

Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition

Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li

Comments 13 pages, 17 figures, submitted to IEEE TNNLS

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari

Comments in IEEE Transactions on Neural Networks and Learning Systems, 2015

A Survey of Memristive Threshold Logic Circuits

Akshay Kumar Maan, Deepthi Anirudhan Jayadevi, Alex Pappachen James

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2016

Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data

Enmei Tu, Nikola Kasabov, Jie Yang

Comments Accepted by IEEE TNNLS

Optimized Kernel Entropy Components

Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls

Comments IEEE Transactions on Neural Networks and Learning Systems, 2016

Universal Memcomputing Machines

Fabio L. Traversa, Massimiliano Di Ventra

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 26, is. 11, pgs. 2702 - 2715, year 2015

Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM

Léa Laporte, Rémi Flamary, Stephane Canu, Sébastien Déjean, Josiane Mothe

Journal ref IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2013, pp.1,1

Entropic one-class classifiers

Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz

Comments To appear in IEEE-TNNLS

Cluster consensus in discrete-time networks of multi-agents with inter-cluster nonidentical inputs

Yujuan Han, Wenlian Lu, Tianping Chen

Comments 13 pages, 4 figures

Journal ref Y Han, WL Lu, TP Chen. Cluster Consensus in Discrete-Time Networks of Multiagents With Inter-Cluster Nonidentical Inputs. IEEE Transactions on Neural Networks and Learning Systems, 24:4, 566-578, 2013

Efficient Multi-Template Learning for Structured Prediction

Qi Mao, Ivor W. Tsang

Journal ref Efficient Multi-Template Learning for Structured Prediction. IEEE Transactions on Neural Networks and Learning Systems, 24(2): 248 - 261, Feb 2013