2, FEBRUARY 2015 367 A Parametric Classification Rule Based on the Exponentially Embedded Family Bo Tang, Student Member, IEEE, Haibo He, Senior Member, IEEE, Quan Ding, Member, IEEE, and Steven Kay, Fellow, IEEE Abstract—In this paper, we extend the exponentially embedded family (EEF), a new approach to … From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. IEEE Transactions on Neural Networks and Learning Systems | Citations: 11,936 | Electronic version. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization Haoliang Li , Sinno Jialin Pan, Shiqi Wang , Member, IEEE,andAlexC.Kot, Fellow, IEEE Abstract—Heterogeneous domain adaptation (HDA) aims to solve the learning problems where the source- and the target-domain data are represented by heterogeneous … IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. X, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 6, JUNE 2016 1241 Learning to Predict Sequences of Human Visual Fixations Ming Jiang, Student Member, IEEE, Xavier Boix, Student Member, IEEE, Gemma Roig, Student Member, IEEE, Juan Xu, Luc Van Gool, Senior Member, IEEE,andQiZhao,Member, IEEE Abstract—Most state-of-the-art visual attention models estimate the … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Integrated Low-Rank-Based Discriminative Feature Learning for Recognition Pan Zhou, Zhouchen Lin, Senior Member, IEEE, and Chao Zhang, Member, IEEE Abstract—Feature learning plays a central role in pattern recognition. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds Hongxin Wang, Jigen Peng, Xuqiang Zheng and Shigang Yue, Senior Member, IEEE Abstract—Monitoring small objects against cluttered moving backgrounds is a huge challenge to future robotic vision systems. The current Editor-in-Chief is Prof. Haibo He (University of Rhode Island). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. Convolutional Neural Networks … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Time-Delay Feedback Neural Network for Fast-Moving Small Target Discrimination Against Complex Dynamic Environments Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng and Shigang Yue, Senior Member, IEEE Abstract—Discriminating small moving objects in complex vi-sual environments is a significant … Membership in IEEE's technical Societies provides access to top-quality publications such as this one either as a member benefit or via discounted subscriptions. As a source of … The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. 1, JANUARY 2018 183 Face Alignment With Deep Regression Baoguang Shi, Xiang Bai, Senior Member, IEEE, Wenyu Liu, Senior Member, IEEE, and Jingdong Wang, Senior Member, IEEE Abstract—In this paper, we present a deep regression approach for face alignment. X, MONTH YEAR 1 Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm Dariusz Brzezinski, Jerzy Stefanowski Abstract—Data stream mining has been receiving increasing attention due to its presence in a wide range of applications such as sensor networks, banking, and … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Multi-task Attention Network for Lane Detection and Fitting Qi Wang, Senior Member, IEEE, Tao Han, Zequn Qin, Junyu Gao, Student Member, IEEE, Xuelong Li, Fellow, IEEE Abstract—Many CNN-based segmentation methods have been applied in lane marking detection recently and gain excellent success for a strong ability in … The IEEE Computational Intelligence Society (CIS) annually recognizes outstanding papers published in the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) through its TNNLS Outstanding Paper Award established in 1997. 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